{"id":"https://openalex.org/W2128689695","doi":"https://doi.org/10.1186/1471-2105-10-s1-s21","title":"Network-based support vector machine for classification of microarray samples","display_name":"Network-based support vector machine for classification of microarray samples","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2128689695","doi":"https://doi.org/10.1186/1471-2105-10-s1-s21","mag":"2128689695","pmid":"https://pubmed.ncbi.nlm.nih.gov/19208121"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-10-s1-s21","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-10-s1-s21","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-S1-S21","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":null,"license_id":null,"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/10.1186/1471-2105-10-S1-S21","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108548927","display_name":"Yanni Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanni Zhu","raw_affiliation_strings":["Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA. yannizhu@biostat.umn.edu","Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA. yannizhu@biostat.umn.edu","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455 USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074904348","display_name":"Xiaotong Shen","orcid":"https://orcid.org/0000-0003-1300-1451"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaotong Shen","raw_affiliation_strings":["School of Statistics, University of Minnesota, Minneapolis, Minnesota 55455, USA","School of Statistics, University of Minnesota, Minneapolis, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, University of Minnesota, Minneapolis, Minnesota 55455, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"School of Statistics, University of Minnesota, Minneapolis, USA#TAB#","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018997928","display_name":"Wei Pan","orcid":"https://orcid.org/0000-0002-1159-0582"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Pan","raw_affiliation_strings":["Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA and","Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA and","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, USA#TAB#","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":4.0293,"has_fulltext":true,"cited_by_count":107,"citation_normalized_percentile":{"value":0.94777033,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"10","issue":"S1","first_page":"S21","last_page":"S21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9750999808311462,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9750999808311462,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.01080000028014183,"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/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7903914451599121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799317002296448},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5944634079933167},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5903435945510864},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5847396850585938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5582164525985718},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.5300887227058411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5236392021179199},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5138983726501465},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48978233337402344},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.4216157793998718},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.42028263211250305},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.4200133681297302},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.11874434351921082},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11724960803985596}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7903914451599121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799317002296448},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5944634079933167},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5903435945510864},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5847396850585938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5582164525985718},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.5300887227058411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5236392021179199},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5138983726501465},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48978233337402344},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.4216157793998718},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.42028263211250305},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.4200133681297302},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.11874434351921082},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11724960803985596},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"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":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D015894","descriptor_name":"Genome, Human","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015894","descriptor_name":"Genome, Human","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015894","descriptor_name":"Genome, Human","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2105-10-s1-s21","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-10-s1-s21","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-S1-S21","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:19208121","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19208121","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:CiteSeerX.psu:10.1.1.216.9042","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.9042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.biostat.umn.edu/ftp/pub/2009/rr2009-003.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:944fbf5e531744e187163bfc87769540","is_oa":false,"landing_page_url":"https://doaj.org/article/944fbf5e531744e187163bfc87769540","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 10, Iss Suppl 1, p S21 (2009)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:2648796","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2648796","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-10-s1-s21","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-10-s1-s21","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-S1-S21","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":null,"license_id":null,"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/G3511853578","display_name":null,"funder_award_id":"HL65462","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4720029636","display_name":null,"funder_award_id":"GM081535","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G4844075620","display_name":null,"funder_award_id":"R01 HL065462","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G506360649","display_name":"Inference and Prediction in a Complex Discovery Process","funder_award_id":"0604394","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6240033142","display_name":null,"funder_award_id":"HL65462","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7289273017","display_name":"Nonseparable Multiclass Learning for Object Tracking","funder_award_id":"0328802","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8385450046","display_name":null,"funder_award_id":"R01 GM081535","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2128689695.pdf","grobid_xml":"https://content.openalex.org/works/W2128689695.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W17192195","https://openalex.org/W68641693","https://openalex.org/W144800816","https://openalex.org/W1480376833","https://openalex.org/W1549656520","https://openalex.org/W1635526310","https://openalex.org/W1982992776","https://openalex.org/W2021669624","https://openalex.org/W2097554668","https://openalex.org/W2102794349","https://openalex.org/W2108022229","https://openalex.org/W2108728387","https://openalex.org/W2116063398","https://openalex.org/W2119821739","https://openalex.org/W2122825543","https://openalex.org/W2130698119","https://openalex.org/W2137721361","https://openalex.org/W2154947819","https://openalex.org/W2156909104","https://openalex.org/W2157132621","https://openalex.org/W2157503003","https://openalex.org/W2163563958","https://openalex.org/W2540258018","https://openalex.org/W4245024447"],"related_works":["https://openalex.org/W1492428813","https://openalex.org/W1986892844","https://openalex.org/W2490137852","https://openalex.org/W3023720143","https://openalex.org/W4310366902","https://openalex.org/W170658859","https://openalex.org/W3141198878","https://openalex.org/W1982897783","https://openalex.org/W2056932428","https://openalex.org/W1483316219"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,49,176],"importance":[2],"of":[3,19,43,52,60],"network-based":[4,91,178],"approach":[5],"to":[6,56,71,78,109,116,146,185],"identifying":[7],"biological":[8,62,75],"markers":[9],"for":[10,95,192],"diagnostic":[11],"classification":[12,97,190],"and":[13,77,120,128,168,194],"prognostic":[14],"assessment":[15],"in":[16,67,74,125],"the":[17,40,61,105,114,141,166,169,183],"context":[18],"microarray":[20,137],"data":[21,130],"has":[22,182],"been":[23,31],"increasingly":[24],"recognized.":[25],"To":[26],"our":[27],"knowledge,":[28],"there":[29],"have":[30],"few,":[32],"if":[33],"any,":[34],"statistical":[35,85],"tools":[36],"that":[37,64,140],"explicitly":[38],"incorporate":[39],"prior":[41],"information":[42,81],"gene":[44,111,121],"networks":[45],"into":[46,82],"classifier":[47],"building.":[48],"main":[50],"idea":[51],"this":[53,80],"paper":[54],"is":[55,144],"take":[57],"full":[58],"advantage":[59],"observation":[63],"neighboring":[65],"genes":[66,151],"a":[68,83,90,101,154,187],"network":[69],"tend":[70],"function":[72],"together":[73],"processes":[76],"embed":[79],"formal":[84],"framework.":[86],"RESULTS:":[87],"We":[88],"propose":[89],"support":[92,172,179],"vector":[93,173,180],"machine":[94,181],"binary":[96],"problems":[98],"by":[99],"constructing":[100],"penalty":[102],"term":[103],"from":[104],"Finfinity-norm":[106],"being":[107],"applied":[108],"pairwise":[110],"neighbors":[112],"with":[113,157,165],"hope":[115],"improve":[117],"predictive":[118],"performance":[119],"selection.":[122],"Simulation":[123],"studies":[124],"both":[126],"low-":[127],"high-dimensional":[129,196],"settings":[131],"as":[132,134],"well":[133],"two":[135],"real":[136],"applications":[138],"indicate":[139],"proposed":[142,177],"method":[143],"able":[145],"identify":[147],"more":[148],"clinically":[149],"relevant":[150],"while":[152],"maintaining":[153],"sparse":[155],"model":[156],"either":[158],"similar":[159],"or":[160],"higher":[161],"prediction":[162],"accuracy":[163],"compared":[164],"standard":[167],"L1":[170],"penalized":[171],"machines.":[174],"CONCLUSION:":[175],"potential":[184],"be":[186],"practically":[188],"useful":[189],"tool":[191],"microarrays":[193],"other":[195],"data.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":11}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}