{"id":"https://openalex.org/W2766041900","doi":"https://doi.org/10.1186/s12859-017-1872-9","title":"Identification of gene pairs through penalized regression subject to constraints","display_name":"Identification of gene pairs through penalized regression subject to constraints","publication_year":2017,"publication_date":"2017-11-03","ids":{"openalex":"https://openalex.org/W2766041900","doi":"https://doi.org/10.1186/s12859-017-1872-9","mag":"2766041900","pmid":"https://pubmed.ncbi.nlm.nih.gov/29100492"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-017-1872-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1872-9","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-017-1872-9","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/counter/pdf/10.1186/s12859-017-1872-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041261188","display_name":"Rex Shen","orcid":"https://orcid.org/0000-0001-8157-9795"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rex Shen","raw_affiliation_strings":["The Blake School, Minneapolis, 55403, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Blake School, Minneapolis, 55403, MN, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014877550","display_name":"Lan Luo","orcid":"https://orcid.org/0000-0002-7901-2148"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lan Luo","raw_affiliation_strings":["Department of Biostatistics, University of Michigan, Ann Arbor, 48109, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Michigan, Ann Arbor, 48109, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779276","display_name":"Hui Jiang","orcid":"https://orcid.org/0000-0003-2718-9811"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hui Jiang","raw_affiliation_strings":["Department of Biostatistics, University of Michigan, Ann Arbor, 48109, MI, USA. jianghui@umich.edu","Department of Biostatistics, University of Michigan, Ann Arbor, 48109, MI, USA"],"raw_orcid":"https://orcid.org/0000-0003-2718-9811","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Michigan, Ann Arbor, 48109, MI, USA. jianghui@umich.edu","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Biostatistics, University of Michigan, Ann Arbor, 48109, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100779276"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":1.0583,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81477473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"18","issue":"1","first_page":"466","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.3174000084400177,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.3174000084400177,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.27709999680519104,"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.08370000123977661,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.6993550658226013},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6500028371810913},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.574979841709137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5718894004821777},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5516930818557739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4776783585548401},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4199250638484955},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4127238690853119},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3402124047279358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3352705240249634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3331465423107147},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.327089786529541},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11763876676559448},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11609360575675964}],"concepts":[{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.6993550658226013},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6500028371810913},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.574979841709137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5718894004821777},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5516930818557739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4776783585548401},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4199250638484955},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4127238690853119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3402124047279358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3352705240249634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3331465423107147},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.327089786529541},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11763876676559448},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11609360575675964},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012334","descriptor_name":"RNA, Neoplasm","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012334","descriptor_name":"RNA, Neoplasm","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012334","descriptor_name":"RNA, Neoplasm","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012334","descriptor_name":"RNA, Neoplasm","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012334","descriptor_name":"RNA, Neoplasm","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012334","descriptor_name":"RNA, Neoplasm","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D053569","descriptor_name":"Keratin-15","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D053569","descriptor_name":"Keratin-15","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D053569","descriptor_name":"Keratin-15","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D053569","descriptor_name":"Keratin-15","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D053569","descriptor_name":"Keratin-15","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D053569","descriptor_name":"Keratin-15","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D060888","descriptor_name":"Real-Time Polymerase Chain Reaction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060888","descriptor_name":"Real-Time Polymerase Chain Reaction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060888","descriptor_name":"Real-Time Polymerase Chain Reaction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12859-017-1872-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1872-9","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-017-1872-9","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:29100492","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29100492","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:deepblue.lib.umich.edu:2027.42/139017","is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/139017","pdf_url":"https://hdl.handle.net/2027.42/139017","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:europepmc.org:4599301","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5670721","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:doaj.org/article:7c1acc3046014e4db794666060225d61","is_oa":false,"landing_page_url":"https://doaj.org/article/7c1acc3046014e4db794666060225d61","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 18, Iss 1, Pp 1-11 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-017-1872-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1872-9","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-017-1872-9","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":[],"awards":[{"id":"https://openalex.org/G1404790370","display_name":null,"funder_award_id":"P30CA046592.","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G1472747617","display_name":null,"funder_award_id":"P50  CA186786","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G60493140","display_name":"Discovery of circulating tumor RNA biomarkers for pancreatic cancer detection and monitoring","funder_award_id":"3p30ca046592-35s1","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7461374756","display_name":"Project 1: Targeting Metastatic Prostate Cancer Patients with Biallelic Loss of CDK12","funder_award_id":"5p50ca186786-10","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320309652","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2766041900.pdf","grobid_xml":"https://content.openalex.org/works/W2766041900.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1484539048","https://openalex.org/W1964184380","https://openalex.org/W1964900038","https://openalex.org/W1967251048","https://openalex.org/W1969752902","https://openalex.org/W1970156673","https://openalex.org/W1973097976","https://openalex.org/W1981276685","https://openalex.org/W1987371344","https://openalex.org/W1999574084","https://openalex.org/W2007615926","https://openalex.org/W2022215929","https://openalex.org/W2023160605","https://openalex.org/W2029607409","https://openalex.org/W2031100365","https://openalex.org/W2034937344","https://openalex.org/W2047928920","https://openalex.org/W2069178739","https://openalex.org/W2074682976","https://openalex.org/W2081098333","https://openalex.org/W2093629649","https://openalex.org/W2097360283","https://openalex.org/W2100922775","https://openalex.org/W2107277218","https://openalex.org/W2110065044","https://openalex.org/W2122673439","https://openalex.org/W2126144698","https://openalex.org/W2135046866","https://openalex.org/W2137920719","https://openalex.org/W2150695437","https://openalex.org/W2155617132","https://openalex.org/W2161112598","https://openalex.org/W2164278908","https://openalex.org/W2165909549","https://openalex.org/W2169846247","https://openalex.org/W2171528238","https://openalex.org/W2254244760","https://openalex.org/W2258353569","https://openalex.org/W2518969260","https://openalex.org/W2532376391","https://openalex.org/W2559848236","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W2117229703","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W2591697403","https://openalex.org/W4321441197","https://openalex.org/W2359348847","https://openalex.org/W4283776486"],"abstract_inverted_index":{"BACKGROUND:":[0],"This":[1],"article":[2],"concerns":[3],"the":[4,60,70,107,121,125,129,133,137,144,155,165,171,175,181,207,230],"identification":[5,73],"of":[6,11,47,54,62,72,124,139,146,159,180,234],"gene":[7,12,217,236],"pairs":[8,13,218,237],"or":[9,18],"combinations":[10],"associated":[14,221],"with":[15,164,200,222],"biological":[16,48],"phenotype":[17],"clinical":[19],"outcome,":[20],"allowing":[21],"for":[22,89],"building":[23],"predictive":[24],"models":[25,114],"that":[26,170,187,219],"are":[27,220],"not":[28],"only":[29],"robust":[30],"to":[31,69,98,132,162,215],"normalization":[32],"but":[33],"also":[34],"easily":[35],"validated":[36],"and":[37,66,85,232],"measured":[38],"by":[39],"qPCR":[40],"techniques.":[41],"However,":[42],"given":[43],"a":[44,51,81,99,196,201,211],"small":[45],"number":[46,53,138],"samples":[49],"yet":[50],"large":[52],"genes,":[55,141],"this":[56,77],"problem":[57],"suffers":[58],"from":[59,128],"difficulty":[61,145],"high":[63],"computational":[64],"complexity":[65,123],"imposes":[67],"challenges":[68],"accuracy":[71],"statistically.":[74],"RESULTS:":[75],"In":[76],"paper,":[78],"we":[79,92,150,168,185,205],"propose":[80],"parsimonious":[82],"model":[83,96,122,147],"representation":[84],"develop":[86,151],"efficient":[87,194],"algorithms":[88],"identification.":[90],"Particularly,":[91],"derive":[93],"an":[94,152],"equivalent":[95],"subject":[97],"sum-to-zero":[100],"constraint":[101],"in":[102,112,136,178],"penalized":[103],"linear":[104,134],"regression,":[105],"where":[106],"correspondence":[108],"between":[109],"nonzero":[110],"coefficients":[111],"these":[113],"is":[115,191],"established.":[116],"Most":[117],"importantly,":[118],"it":[119],"reduces":[120],"traditional":[126,176],"approach":[127],"quadratic":[130],"order":[131,135],"candidate":[140],"while":[142],"overcoming":[143],"nonidentifiablity.":[148],"Computationally,":[149],"algorithm":[153,190,199],"using":[154,235],"alternating":[156],"direction":[157],"method":[158,173,177,209],"multipliers":[160],"(ADMM)":[161],"deal":[163],"constraint.":[166],"Numerically,":[167],"demonstrate":[169,186,229],"proposed":[172,208],"outperforms":[174],"terms":[179],"statistical":[182],"accuracy.":[183],"Moreover,":[184],"our":[188],"ADMM":[189],"more":[192],"computationally":[193],"than":[195],"coordinate":[197],"descent":[198],"local":[202],"search.":[203],"Finally,":[204],"illustrate":[206],"on":[210],"prostate":[212],"cancer":[213],"dataset":[214],"identify":[216],"pre-operative":[223],"prostate-specific":[224],"antigen.":[225],"CONCLUSION:":[226],"Our":[227],"findings":[228],"feasibility":[231],"utility":[233],"as":[238],"biomarkers.":[239]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}