{"id":"https://openalex.org/W7115573947","doi":"https://doi.org/10.1016/j.bspc.2025.109298","title":"Integration of multi-omics data accelerates via credal set interval neural networks for breast cancer molecular subtype classification with high resolution predictive analytics","display_name":"Integration of multi-omics data accelerates via credal set interval neural networks for breast cancer molecular subtype classification with high resolution predictive analytics","publication_year":2025,"publication_date":"2025-12-16","ids":{"openalex":"https://openalex.org/W7115573947","doi":"https://doi.org/10.1016/j.bspc.2025.109298"},"language":"en","primary_location":{"id":"doi:10.1016/j.bspc.2025.109298","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2025.109298","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.bspc.2025.109298","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Madhan Subramaniam","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Madhan Subramaniam","raw_affiliation_strings":["Department of Computer Science and Engineering, University College of Engineering, Thirukkuvalai (A Constituent College of Anna University Chennai), Nagapattinam, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University College of Engineering, Thirukkuvalai (A Constituent College of Anna University Chennai), Nagapattinam, Tamilnadu, India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"last","author":{"id":null,"display_name":"Suhasini Manoharan","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suhasini Manoharan","raw_affiliation_strings":["Senior Software Engineer, Exela Technologies, 106-109, Annasalai, Next to Chellammal College, Chennai, Tamilnadu 600 032, India"],"affiliations":[{"raw_affiliation_string":"Senior Software Engineer, Exela Technologies, 106-109, Annasalai, Next to Chellammal College, Chennai, Tamilnadu 600 032, India","institution_ids":["https://openalex.org/I33585257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33585257"],"apc_list":{"value":2420,"currency":"USD","value_usd":2420},"apc_paid":{"value":2420,"currency":"USD","value_usd":2420},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82744351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"115","issue":null,"first_page":"109298","last_page":"109298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.3869999945163727,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.3869999945163727,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.17010000348091125,"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":0.16349999606609344,"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":0.65829998254776},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5662999749183655},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5378999710083008},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49230000376701355},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.4415999948978424},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4253000020980835},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4075999855995178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3513999879360199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708899974822998},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.65829998254776},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5662999749183655},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5378999710083008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5105000138282776},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49230000376701355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47540000081062317},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40400001406669617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C157585117","wikidata":"https://www.wikidata.org/wiki/Q158666","display_name":"Omics","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C3019722297","wikidata":"https://www.wikidata.org/wiki/Q4440864","display_name":"High dimensional","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.25609999895095825},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.bspc.2025.109298","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2025.109298","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.bspc.2025.109298","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2025.109298","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W4360869504","https://openalex.org/W4391820360","https://openalex.org/W4392107078","https://openalex.org/W4392251559","https://openalex.org/W4392750191","https://openalex.org/W4393224532","https://openalex.org/W4393404242","https://openalex.org/W4395026478","https://openalex.org/W4395661563","https://openalex.org/W4396888913","https://openalex.org/W4399039725","https://openalex.org/W4402414099","https://openalex.org/W4402569388","https://openalex.org/W4403936256","https://openalex.org/W4404465045","https://openalex.org/W4404646458","https://openalex.org/W4404836519","https://openalex.org/W4405514935","https://openalex.org/W4406143152","https://openalex.org/W4406278231","https://openalex.org/W4406337113","https://openalex.org/W4406865354","https://openalex.org/W4407167303","https://openalex.org/W4407597764","https://openalex.org/W4407897864","https://openalex.org/W4408089436"],"related_works":[],"abstract_inverted_index":{"Breast":[0,48],"cancer":[1,118,204],"subtypes":[2,23,119],"must":[3],"be":[4],"accurately":[5],"identified":[6],"to":[7,81,109,143],"guide":[8],"diagnosis":[9],"and":[10,17,72,87,102,127,165,176],"treatment.":[11],"Early":[12],"signs":[13],"are":[14,64],"often":[15],"subtle,":[16],"limited":[18],"research":[19],"has":[20],"addressed":[21],"predicting":[22],"by":[24,171],"integrating":[25,186],"disparate":[26],"omics":[27,92],"data.":[28],"To":[29],"address":[30],"this":[31],"gap,":[32],"a":[33,75,198],"novel":[34],"model,":[35],"Integration":[36],"of":[37,155],"Multi-Omics":[38],"Data":[39],"Accelerates":[40],"using":[41,74],"Credal":[42],"Set":[43],"Interval":[44,111],"Neural":[45,112],"Networks":[46,113],"for":[47,115,201],"Cancer":[49,68],"Molecular":[50],"Subtype":[51],"Classification":[52],"with":[53,189],"High":[54],"Resolution":[55],"Predictive":[56],"Analytics":[57],"(MOD-CINN-CMSC),":[58],"was":[59,141],"proposed.":[60],"Multi-omics":[61],"patient":[62],"data":[63,86,188],"obtained":[65],"from":[66],"The":[67,147],"Genome":[69],"Atlas":[70],"(TCGA)":[71],"pre-processed":[73],"Kriged":[76],"Marginalized":[77],"Particle":[78],"Filter":[79],"(KMPF)":[80],"handle":[82],"missing":[83],"values,":[84],"normalize":[85],"integrate":[88],"features":[89],"across":[90],"multiple":[91],"layers.":[93],"Disentangled":[94],"Graph":[95],"Variational":[96],"Auto-Encoder":[97],"(DGVAE)":[98],"extracted":[99],"long-range":[100],"dependencies":[101],"contextual":[103],"features,":[104],"which":[105],"were":[106],"then":[107],"input":[108],"Credal-Set":[110],"(CINN)":[114],"classifying":[116],"breast":[117,203],"as":[120],"Luminal":[121,123],"A,":[122],"B,":[124],"HER2-enriched,":[125],"Basal-like":[126],"Normal-like.":[128],"As":[129],"CINN":[130,191],"lacks":[131],"adaptive":[132],"optimization":[133],"strategies,":[134],"the":[135,162],"Chaotic":[136],"Puma":[137],"Optimizer":[138],"Algorithm":[139],"(CPOA)":[140],"introduced":[142],"enhance":[144],"classification":[145],"accuracy.":[146],"MOD-CINN-CMSC":[148],"model":[149],"achieved":[150],"superior":[151],"performance":[152],"in":[153,179],"terms":[154],"accuracy,":[156],"precision,":[157],"recall,":[158],"F1-score,":[159],"Area":[160],"under":[161],"Curve":[163],"(AUC)":[164],"computational":[166],"time,":[167],"outperforming":[168],"existing":[169],"techniques":[170],"24.65":[172],"%,":[173],"21.95":[174],"%":[175,178],"29.56":[177],"accuracy":[180],"respectively.":[181],"These":[182],"results":[183],"demonstrate":[184],"that":[185],"multi-omics":[187],"optimized":[190],"significantly":[192],"improves":[193],"molecular":[194],"subtype":[195],"prediction,":[196],"offering":[197],"robust":[199],"framework":[200],"precision":[202],"diagnostics.":[205]},"counts_by_year":[],"updated_date":"2026-02-22T13:39:03.778224","created_date":"2025-12-16T00:00:00"}