{"id":"https://openalex.org/W7126119827","doi":"https://doi.org/10.1109/bibm66473.2025.11356093","title":"SVP: Support Vector Gene Pair as Biomarker Selection for Breast Cancer","display_name":"SVP: Support Vector Gene Pair as Biomarker Selection for Breast Cancer","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126119827","doi":"https://doi.org/10.1109/bibm66473.2025.11356093"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103816844","display_name":"Yijun Zhou","orcid":"https://orcid.org/0009-0002-4035-8157"},"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":"Yijun Zhou","raw_affiliation_strings":["School of Mathematics, Sun Yat-Sen University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Sun Yat-Sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124259139","display_name":"Qiyi Chen","orcid":null},"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":"Qiyi Chen","raw_affiliation_strings":["College of Computer Science, Shenzhen University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065269839","display_name":"Dian Meng","orcid":"https://orcid.org/0009-0002-7192-0536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dian Meng","raw_affiliation_strings":["School of Computing and Information Technology, Great Bay University,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, Great Bay University,Dongguan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102771953","display_name":"Yanran Liu","orcid":"https://orcid.org/0000-0003-0062-4473"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanran Liu","raw_affiliation_strings":["School of Computing and Information Technology, Great Bay University,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, Great Bay University,Dongguan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124164090","display_name":"Jinchao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinchao Feng","raw_affiliation_strings":["School of Science, Great Bay University,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"School of Science, Great Bay University,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035816463","display_name":"Xubin Zheng","orcid":"https://orcid.org/0000-0003-2322-857X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xubin Zheng","raw_affiliation_strings":["School of Computing and Information Technology, Great Bay University,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, Great Bay University,Dongguan,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103816844"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65248513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1528","last_page":"1533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.5827000141143799,"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":0.5827000141143799,"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":0.15770000219345093,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.0778999999165535,"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/breast-cancer","display_name":"Breast cancer","score":0.7804999947547913},{"id":"https://openalex.org/keywords/biomarker","display_name":"Biomarker","score":0.6452000141143799},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6200000047683716},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.6001999974250793},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.5936999917030334},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.5340999960899353},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.476500004529953},{"id":"https://openalex.org/keywords/gene-expression-profiling","display_name":"Gene expression profiling","score":0.3614000082015991}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.7804999947547913},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.6452000141143799},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6200000047683716},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.6001999974250793},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.5936999917030334},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5755000114440918},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.5340999960899353},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.5210999846458435},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.476500004529953},{"id":"https://openalex.org/C18431079","wikidata":"https://www.wikidata.org/wiki/Q1502169","display_name":"Gene expression profiling","level":4,"score":0.3614000082015991},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.36079999804496765},{"id":"https://openalex.org/C92087593","wikidata":"https://www.wikidata.org/wiki/Q427389","display_name":"Vector (molecular biology)","level":4,"score":0.3497999906539917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3425000011920929},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.32510000467300415},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.31380000710487366},{"id":"https://openalex.org/C165864922","wikidata":"https://www.wikidata.org/wiki/Q411391","display_name":"Regulation of gene expression","level":3,"score":0.310699999332428},{"id":"https://openalex.org/C2777002142","wikidata":"https://www.wikidata.org/wiki/Q5031432","display_name":"Cancer biomarkers","level":3,"score":0.303600013256073},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C55548728","wikidata":"https://www.wikidata.org/wiki/Q1465102","display_name":"Gene dosage","level":4,"score":0.26159998774528503},{"id":"https://openalex.org/C2986637895","wikidata":"https://www.wikidata.org/wiki/Q953865","display_name":"Breast tumor","level":4,"score":0.26109999418258667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5515731573104858,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G688162940","display_name":null,"funder_award_id":"32300554","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1629202041","https://openalex.org/W1988995745","https://openalex.org/W2023383785","https://openalex.org/W2110836783","https://openalex.org/W2884682196","https://openalex.org/W2902077675","https://openalex.org/W2972580544","https://openalex.org/W3154984820","https://openalex.org/W4200483382","https://openalex.org/W4205279981","https://openalex.org/W4286252253","https://openalex.org/W4307834060","https://openalex.org/W4315928147","https://openalex.org/W4389788467","https://openalex.org/W4397290373","https://openalex.org/W4405953164","https://openalex.org/W4406781476","https://openalex.org/W4409369229","https://openalex.org/W4413123115"],"related_works":[],"abstract_inverted_index":{"mRNA":[0],"expression":[1,27,70],"is":[2],"vital":[3],"for":[4,150,158],"understanding":[5],"the":[6,53],"mechanisms":[7],"of":[8,135],"breast":[9,111,151],"cancer":[10,152],"initiation":[11],"and":[12,23,37,78,87,104,115,122,139,147],"metastasis,":[13,22],"with":[14,132],"mRNA-based":[15],"biomarkers":[16],"closely":[17],"linked":[18],"to":[19,98],"tumor":[20],"grade,":[21],"prognosis.":[24],"However,":[25],"gene":[26,64,94,113],"analyses":[28,127],"often":[29],"suffer":[30],"from":[31],"batch":[32],"effects,":[33],"high":[34],"inter-sample":[35,76,88],"variability,":[36,89],"poor":[38],"cross-cohort":[39],"generalizability,":[40],"which":[41,60],"can":[42],"obscure":[43],"true":[44],"biological":[45],"signals.":[46],"To":[47],"overcome":[48],"these":[49],"limitations,":[50],"we":[51],"developed":[52],"Support":[54],"Vector":[55],"Gene":[56,120],"Pair":[57],"(SVP)":[58],"algorithm,":[59],"emphasizes":[61],"within-sample":[62],"relative":[63],"pair":[65,95],"relationships":[66],"rather":[67],"than":[68],"absolute":[69],"levels.":[71],"This":[72],"design":[73],"effectively":[74],"mitigates":[75],"interference":[77],"enhances":[79],"robustness":[80],"across":[81],"heterogeneous":[82],"datasets.":[83],"By":[84],"in-corporating":[85],"intra-":[86],"SVP":[90,108,143],"accurately":[91],"identifies":[92],"informative":[93],"features.":[96],"Applied":[97],"16":[99],"GEO":[100],"datasets":[101],"(852":[102],"samples)":[103],"one":[105],"TCGA":[106],"dataset,":[107],"discovered":[109],"23":[110],"cancer-related":[112],"pairs":[114],"outperformed":[116],"traditional":[117],"Differentially":[118],"Expressed":[119],"(DEG)":[121],"unadjusted":[123],"statistical":[124],"approaches.":[125],"Comparative":[126],"showed":[128],"consistent":[129],"performance":[130],"gains,":[131],"average":[133],"improvements":[134],"8%":[136],"in":[137,141,161],"AUC":[138],"6%":[140],"PRC.":[142],"offers":[144],"a":[145],"robust":[146],"interpretable":[148],"framework":[149],"biomarker":[153],"discovery,":[154],"holding":[155],"strong":[156],"promise":[157],"translational":[159],"applications":[160],"precision":[162],"medicine.":[163]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}
