{"id":"https://openalex.org/W2290955096","doi":"https://doi.org/10.1186/s12859-016-0951-7","title":"Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer","display_name":"Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer","publication_year":2016,"publication_date":"2016-02-27","ids":{"openalex":"https://openalex.org/W2290955096","doi":"https://doi.org/10.1186/s12859-016-0951-7","mag":"2290955096","pmid":"https://pubmed.ncbi.nlm.nih.gov/26921029"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-016-0951-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-0951-7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-0951-7","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-0951-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031082473","display_name":"Mengyun Wu","orcid":"https://orcid.org/0000-0002-0970-4712"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]},{"id":"https://openalex.org/I4210160994","display_name":"Ministry of Education","ror":"https://ror.org/05w8pph52","country_code":"KN","type":"government","lineage":["https://openalex.org/I4210160994"]}],"countries":["CN","KN"],"is_corresponding":false,"raw_author_name":"Meng-Yun Wu","raw_affiliation_strings":["Key Laboratory of Mathematical Economics SUFE, Ministry of Education, Guoding Road, Shanghai, 200433, China. wu.mengyun@mail.shufe.edu.cn","School of Statistics and Management, Shanghai University of Finance and Economics, Guoding Road, Shanghai, 200433, China. wu.mengyun@mail.shufe.edu.cn","School of Statistics and Management, Shanghai University of Finance and Economics, Guoding Road, Shanghai, 200433, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Mathematical Economics SUFE, Ministry of Education, Guoding Road, Shanghai, 200433, China. wu.mengyun@mail.shufe.edu.cn","institution_ids":["https://openalex.org/I4210160994"]},{"raw_affiliation_string":"School of Statistics and Management, Shanghai University of Finance and Economics, Guoding Road, Shanghai, 200433, China. wu.mengyun@mail.shufe.edu.cn","institution_ids":["https://openalex.org/I181679659"]},{"raw_affiliation_string":"School of Statistics and Management, Shanghai University of Finance and Economics, Guoding Road, Shanghai, 200433, China","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447043","display_name":"Xiao-Fei Zhang","orcid":"https://orcid.org/0000-0002-5052-9725"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Fei Zhang","raw_affiliation_strings":["School of Mathematics and Statistics & Hubei Key Laboratory of Mathematical Sciences, Central China Normal University, Luoyu Road, Wuhan, 430079, China. zhangxf@mail.ccnu.edu.cn","School of Mathematics and Statistics & Hubei Key Laboratory of Mathematical Sciences, Central China Normal University, Luoyu Road, Wuhan, 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics & Hubei Key Laboratory of Mathematical Sciences, Central China Normal University, Luoyu Road, Wuhan, 430079, China. zhangxf@mail.ccnu.edu.cn","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"School of Mathematics and Statistics & Hubei Key Laboratory of Mathematical Sciences, Central China Normal University, Luoyu Road, Wuhan, 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102004642","display_name":"Dao\u2010Qing Dai","orcid":"https://orcid.org/0000-0003-4622-8492"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dao-Qing Dai","raw_affiliation_strings":["Intelligent Data Center and Department of Mathematics, Sun Yat-Sen University, Xingang West Road, Guangzhou, 510275, China. stsddq@mail.sysu.edu.cn","Intelligent Data Center and Department of Mathematics, Sun Yat-Sen University, Xingang West Road, Guangzhou, 510275, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Data Center and Department of Mathematics, Sun Yat-Sen University, Xingang West Road, Guangzhou, 510275, China. stsddq@mail.sysu.edu.cn","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Intelligent Data Center and Department of Mathematics, Sun Yat-Sen University, Xingang West Road, Guangzhou, 510275, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030129372","display_name":"Le Ou-Yang","orcid":"https://orcid.org/0000-0003-4007-4568"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Ou-Yang","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Nanhai Avenue, Shenzhen, 518060, China. ouyangle@mail2.sysu.edu.cn","College of Information Engineering, Shenzhen University, Nanhai Avenue, Shenzhen, 518060, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Nanhai Avenue, Shenzhen, 518060, China. ouyangle@mail2.sysu.edu.cn","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Nanhai Avenue, Shenzhen, 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046009262","display_name":"Yuan Zhu","orcid":"https://orcid.org/0000-0003-1372-9135"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Lumo Road, Wuhan, 430074, China. zhuyuan7@mail2.sysu.edu.cn","School of Automation, China University of Geosciences, Lumo Road, Wuhan, 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Lumo Road, Wuhan, 430074, China. zhuyuan7@mail2.sysu.edu.cn","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Automation, China University of Geosciences, Lumo Road, Wuhan, 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100644375","display_name":"Hong Yan","orcid":"https://orcid.org/0000-0001-9661-3095"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hong Yan","raw_affiliation_strings":["Department of Electronic and Engineering, City University of Hong Kong, Tat Chee Avenue, Hong Kong, 999077, China. h.yan@cityu.edu.hk","Department of Electronic and Engineering, City University of Hong Kong, Tat Chee Avenue, Hong Kong, 999077, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Engineering, City University of Hong Kong, Tat Chee Avenue, Hong Kong, 999077, China. h.yan@cityu.edu.hk","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Electronic and Engineering, City University of Hong Kong, Tat Chee Avenue, Hong Kong, 999077, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102004642"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":1.6034,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.82997615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":"1","first_page":"108","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.91839998960495,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.91839998960495,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.031099999323487282,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.014600000344216824,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7476413249969482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6094751358032227},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.58649742603302},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5554255843162537},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5526891946792603},{"id":"https://openalex.org/keywords/biomarker","display_name":"Biomarker","score":0.5487540364265442},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.47169947624206543},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4686431586742401},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4596315324306488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4581318497657776},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4568106234073639},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4344519376754761},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41498661041259766},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.410586416721344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40093764662742615},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.33427995443344116},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2667618989944458},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2185400426387787},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.20343321561813354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15732577443122864},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1545661985874176},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.12390094995498657},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.09613856673240662}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7476413249969482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6094751358032227},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.58649742603302},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5554255843162537},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5526891946792603},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.5487540364265442},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.47169947624206543},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4686431586742401},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4596315324306488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4581318497657776},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4568106234073639},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4344519376754761},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41498661041259766},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.410586416721344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40093764662742615},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.33427995443344116},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2667618989944458},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2185400426387787},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.20343321561813354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15732577443122864},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1545661985874176},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.12390094995498657},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09613856673240662},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060066","descriptor_name":"Protein Interaction Maps","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060066","descriptor_name":"Protein Interaction Maps","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060066","descriptor_name":"Protein Interaction Maps","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-016-0951-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-0951-7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-0951-7","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:26921029","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26921029","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:europepmc.org:3738514","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4769543","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:publications/79718d1c-ffcc-4e0d-acb1-89c3024af7da","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/79718d1c-ffcc-4e0d-acb1-89c3024af7da","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wu, M-Y, Zhang, X-F, Dai, D-Q, Ou-Yang, L, Zhu, Y & Yan, H 2016, 'Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer', BMC Bioinformatics, vol. 17, no. 1, 108. https://doi.org/10.1186/s12859-016-0951-7","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/s12859-016-0951-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-0951-7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-0951-7","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.550000011920929,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1267278675","display_name":null,"funder_award_id":"11401110","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1830069575","display_name":null,"funder_award_id":"91546202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3002491232","display_name":null,"funder_award_id":"20120171110016","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G3010105402","display_name":null,"funder_award_id":"CCNU15ZD011","funder_id":"https://openalex.org/F4320323173","funder_display_name":"Central China Normal University"},{"id":"https://openalex.org/G367910934","display_name":null,"funder_award_id":"61402276","funder_id":"https://openalex.org/F4320324781","funder_display_name":"Shanghai University of Finance and Economics"},{"id":"https://openalex.org/G5180900016","display_name":null,"funder_award_id":"IRT13077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5544774543","display_name":null,"funder_award_id":"61402276","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5560849437","display_name":null,"funder_award_id":"91546202","funder_id":"https://openalex.org/F4320324781","funder_display_name":"Shanghai University of Finance and Economics"},{"id":"https://openalex.org/G5989824166","display_name":null,"funder_award_id":"985 Project","funder_id":"https://openalex.org/F4320321160","funder_display_name":"Sun Yat-sen University"},{"id":"https://openalex.org/G660828770","display_name":null,"funder_award_id":"61375033","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7128375257","display_name":null,"funder_award_id":"11171354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7470892521","display_name":null,"funder_award_id":"11401110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7534660035","display_name":null,"funder_award_id":"61402190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7604058285","display_name":null,"funder_award_id":"61375033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7673123307","display_name":null,"funder_award_id":"2013KJCX0086","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G804469284","display_name":null,"funder_award_id":"S2013020012796","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8543904368","display_name":null,"funder_award_id":"61532008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8601434852","display_name":null,"funder_award_id":"IRT13077","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G8985319887","display_name":null,"funder_award_id":"AU2015CJ008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320323173","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21"},{"id":"https://openalex.org/F4320324781","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62"},{"id":"https://openalex.org/F4320328899","display_name":"China University of Geosciences","ror":null},{"id":"https://openalex.org/F4320335577","display_name":"Major Research Plan","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2290955096.pdf","grobid_xml":"https://content.openalex.org/works/W2290955096.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W63349930","https://openalex.org/W1484418241","https://openalex.org/W1573786554","https://openalex.org/W1767515115","https://openalex.org/W1965302838","https://openalex.org/W1971092174","https://openalex.org/W1974635622","https://openalex.org/W1976173969","https://openalex.org/W2002554985","https://openalex.org/W2003512138","https://openalex.org/W2020925091","https://openalex.org/W2021152606","https://openalex.org/W2022174252","https://openalex.org/W2024010804","https://openalex.org/W2035618305","https://openalex.org/W2036369755","https://openalex.org/W2036714085","https://openalex.org/W2037559873","https://openalex.org/W2038783315","https://openalex.org/W2039043148","https://openalex.org/W2040847667","https://openalex.org/W2044713924","https://openalex.org/W2048638896","https://openalex.org/W2062533676","https://openalex.org/W2073792037","https://openalex.org/W2075490785","https://openalex.org/W2079525834","https://openalex.org/W2081098333","https://openalex.org/W2082983027","https://openalex.org/W2084709428","https://openalex.org/W2084764212","https://openalex.org/W2085072319","https://openalex.org/W2085736551","https://openalex.org/W2087692688","https://openalex.org/W2088160256","https://openalex.org/W2089155105","https://openalex.org/W2096079397","https://openalex.org/W2096514143","https://openalex.org/W2097360283","https://openalex.org/W2103209061","https://openalex.org/W2103897566","https://openalex.org/W2110620844","https://openalex.org/W2115580179","https://openalex.org/W2116063398","https://openalex.org/W2117407746","https://openalex.org/W2120865735","https://openalex.org/W2122825543","https://openalex.org/W2128049108","https://openalex.org/W2133554582","https://openalex.org/W2135046866","https://openalex.org/W2140349867","https://openalex.org/W2140883620","https://openalex.org/W2141357160","https://openalex.org/W2146512944","https://openalex.org/W2146739527","https://openalex.org/W2147566730","https://openalex.org/W2150258208","https://openalex.org/W2150533948","https://openalex.org/W2152401289","https://openalex.org/W2153280946","https://openalex.org/W2154947819","https://openalex.org/W2155626507","https://openalex.org/W2161311669","https://openalex.org/W2162128823","https://openalex.org/W2163563958","https://openalex.org/W2164786997","https://openalex.org/W2168264491","https://openalex.org/W3102650760","https://openalex.org/W4245024447","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W1492428813","https://openalex.org/W2083862258","https://openalex.org/W1995862559","https://openalex.org/W2170304139","https://openalex.org/W3120424762","https://openalex.org/W4299306949","https://openalex.org/W4323967384","https://openalex.org/W4308011238","https://openalex.org/W2544198685","https://openalex.org/W2160192270"],"abstract_inverted_index":{"BACKGROUND:":[0],"To":[1],"facilitate":[2],"advances":[3,254],"in":[4,127,156,193,200,215,232,243],"personalized":[5],"medicine,":[6],"it":[7,65,79],"is":[8,66,80,137,206],"important":[9],"to":[10,30,56,68,82,139,208,256,282],"detect":[11],"predictive,":[12],"stable":[13,260],"and":[14,212,259],"interpretable":[15],"biomarkers":[16,214,224],"related":[17],"with":[18,28,94,249],"different":[19,250],"clinical":[20,23,251],"characteristics.":[21,252],"These":[22,253],"characteristics":[24],"may":[25,279],"be":[26,280],"heterogeneous":[27],"respect":[29],"underlying":[31],"interactions":[32,49,93],"between":[33,50,143],"genes.":[34],"Usually,":[35],"traditional":[36],"methods":[37,111],"just":[38],"focus":[39,113],"on":[40,114,147,170,176,275],"detection":[41],"of":[42,61,222,246],"differentially":[43],"expressed":[44],"genes":[45,51,116],"without":[46],"taking":[47],"the":[48,57,62,141,153,157,171,210,223,244,266],"into":[52,132],"account.":[53,133],"Moreover,":[54,220],"due":[55],"typical":[58],"low":[59],"reproducibility":[60],"selected":[63],"biomarkers,":[64],"difficult":[67],"give":[69],"a":[70,75,84,103,128,216],"clear":[71],"biological":[72],"interpretation":[73],"for":[74,285],"specific":[76],"disease.":[77],"Therefore,":[78,203],"necessary":[81],"design":[83],"robust":[85,218],"biomarker":[86,261],"identification":[87],"method":[88,186,240],"that":[89,184,269],"can":[90,187,264],"predict":[91],"disease-associated":[92],"high":[95],"reproducibility.":[96],"RESULTS:":[97],"In":[98],"this":[99,148],"article,":[100],"we":[101,151],"propose":[102],"regularized":[104],"logistic":[105],"regression":[106],"model.":[107],"Different":[108],"from":[109],"previous":[110],"which":[112,124,164,263],"individual":[115],"or":[117,234],"modules,":[118],"our":[119,166,185,204,227],"model":[120,158,167,205,228],"takes":[121],"gene":[122],"pairs,":[123],"are":[125,270],"connected":[126],"protein-protein":[129],"interaction":[130],"network,":[131],"A":[134],"line":[135,149],"graph":[136],"constructed":[138],"represent":[140],"adjacencies":[142],"pairwise":[144],"interactions.":[145],"Based":[146,274],"graph,":[150],"incorporate":[152],"degree":[154],"information":[155],"via":[159],"an":[160],"adaptive":[161],"elastic":[162],"net,":[163],"makes":[165],"less":[168],"dependent":[169],"expression":[172],"data.":[173],"Experimental":[174],"results":[175],"six":[177],"publicly":[178],"available":[179],"breast":[180],"cancer":[181],"datasets":[182],"show":[183],"not":[188],"only":[189],"achieve":[190],"competitive":[191],"performance":[192],"classification,":[194],"but":[195],"also":[196],"retain":[197],"great":[198],"stability":[199],"variable":[201],"selection.":[202],"able":[207,281],"identify":[209],"diagnostic":[211],"prognostic":[213],"more":[217,257],"way.":[219],"most":[221],"discovered":[225],"by":[226,272],"have":[229],"been":[230],"verified":[231],"biochemical":[233],"biomedical":[235],"researches.":[236],"CONCLUSIONS:":[237],"The":[238],"proposed":[239],"shows":[241],"promise":[242],"diagnosis":[245],"disease":[247],"pathogenesis":[248],"lead":[255],"accurate":[258],"discovery,":[262],"monitor":[265],"functional":[267],"changes":[268],"perturbed":[271],"diseases.":[273],"these":[276],"predictions,":[277],"researchers":[278],"provide":[283],"suggestions":[284],"new":[286],"therapeutic":[287],"approaches.":[288]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}