{"id":"https://openalex.org/W7162290330","doi":"https://doi.org/10.1016/j.compbiomed.2026.111775","title":"Correlation network construction for molecular data based on cross validation framework","display_name":"Correlation network construction for molecular data based on cross validation framework","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162290330","doi":"https://doi.org/10.1016/j.compbiomed.2026.111775","pmid":"https://pubmed.ncbi.nlm.nih.gov/42190522"},"language":"en","primary_location":{"id":"doi:10.1016/j.compbiomed.2026.111775","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2026.111775","pdf_url":null,"source":{"id":"https://openalex.org/S44278595","display_name":"Computers in Biology and Medicine","issn_l":"0010-4825","issn":["0010-4825","1879-0534"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Biology and Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.compbiomed.2026.111775","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090752431","display_name":"Prabhakar Chalise","orcid":"https://orcid.org/0000-0001-5581-1220"},"institutions":[{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Prabhakar Chalise","raw_affiliation_strings":["Department of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA. Electronic address: pchalise@kumc.edu"],"raw_orcid":"https://orcid.org/0000-0001-5581-1220","affiliations":[{"raw_affiliation_string":"Department of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA. Electronic address: pchalise@kumc.edu","institution_ids":["https://openalex.org/I4210128618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013473132","display_name":"Indrani Sarker","orcid":"https://orcid.org/0000-0001-8028-6552"},"institutions":[{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Indrani Sarker","raw_affiliation_strings":["Department of Biostatistics and Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA","institution_ids":["https://openalex.org/I4210128618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136971085","display_name":"Yanming Li","orcid":"https://orcid.org/0000-0001-9441-3698"},"institutions":[{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanming Li","raw_affiliation_strings":["Department of Biostatistics and Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA"],"raw_orcid":"https://orcid.org/0000-0001-9441-3698","affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA","institution_ids":["https://openalex.org/I4210128618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090752431"],"corresponding_institution_ids":["https://openalex.org/I4210128618"],"apc_list":{"value":2610,"currency":"USD","value_usd":2610},"apc_paid":{"value":2610,"currency":"USD","value_usd":2610},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8803975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"212","issue":null,"first_page":"111775","last_page":"111775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.2702000141143799,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.2702000141143799,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.20329999923706055,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.17659999430179596,"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/cross-validation","display_name":"Cross-validation","score":0.5133000016212463},{"id":"https://openalex.org/keywords/cross-correlation","display_name":"Cross-correlation","score":0.5055000185966492},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4936999976634979},{"id":"https://openalex.org/keywords/data-validation","display_name":"Data validation","score":0.33550000190734863},{"id":"https://openalex.org/keywords/model-validation","display_name":"Model validation","score":0.32260000705718994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872000098228455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5557000041007996},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5133000016212463},{"id":"https://openalex.org/C163018871","wikidata":"https://www.wikidata.org/wiki/Q1302587","display_name":"Cross-correlation","level":2,"score":0.5055000185966492},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4936999976634979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37059998512268066},{"id":"https://openalex.org/C92446256","wikidata":"https://www.wikidata.org/wiki/Q3306762","display_name":"Data validation","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C3019813237","wikidata":"https://www.wikidata.org/wiki/Q65089264","display_name":"Model validation","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28360000252723694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2752000093460083},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2590999901294708}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.compbiomed.2026.111775","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2026.111775","pdf_url":null,"source":{"id":"https://openalex.org/S44278595","display_name":"Computers in Biology and Medicine","issn_l":"0010-4825","issn":["0010-4825","1879-0534"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Biology and Medicine","raw_type":"journal-article"},{"id":"pmid:42190522","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42190522","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":"Computers in biology and medicine","raw_type":null}],"best_oa_location":{"id":"doi:10.1016/j.compbiomed.2026.111775","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2026.111775","pdf_url":null,"source":{"id":"https://openalex.org/S44278595","display_name":"Computers in Biology and Medicine","issn_l":"0010-4825","issn":["0010-4825","1879-0534"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Biology and Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W371353707","https://openalex.org/W1255676896","https://openalex.org/W1966327575","https://openalex.org/W1973952389","https://openalex.org/W1975107573","https://openalex.org/W1990902703","https://openalex.org/W1992062845","https://openalex.org/W1993702356","https://openalex.org/W2010824638","https://openalex.org/W2011312755","https://openalex.org/W2015538881","https://openalex.org/W2053154970","https://openalex.org/W2057065397","https://openalex.org/W2068252829","https://openalex.org/W2083045667","https://openalex.org/W2100452303","https://openalex.org/W2122825543","https://openalex.org/W2132555912","https://openalex.org/W2135046866","https://openalex.org/W2138720219","https://openalex.org/W2153272770","https://openalex.org/W2155520635","https://openalex.org/W2156615630","https://openalex.org/W2161868542","https://openalex.org/W2171115585","https://openalex.org/W2181911378","https://openalex.org/W2242179450","https://openalex.org/W2288260164","https://openalex.org/W2318460400","https://openalex.org/W2493614923","https://openalex.org/W2609501202","https://openalex.org/W2611654275","https://openalex.org/W2767244594","https://openalex.org/W2941564413","https://openalex.org/W2990278398","https://openalex.org/W2999309192","https://openalex.org/W3036915285","https://openalex.org/W3080243510","https://openalex.org/W3086454262","https://openalex.org/W3092840361","https://openalex.org/W4220658960","https://openalex.org/W4235169531","https://openalex.org/W4296639145","https://openalex.org/W4321214126","https://openalex.org/W4365446686","https://openalex.org/W4377989430","https://openalex.org/W4399459020","https://openalex.org/W4400125595","https://openalex.org/W4410808041","https://openalex.org/W4411868438","https://openalex.org/W4414172928"],"related_works":[],"abstract_inverted_index":{"Correlation":[0],"networks":[1,14,118,133,157],"are":[2,15,109,119,134],"widely":[3],"used":[4],"to":[5,74],"uncover":[6],"latent":[7],"interaction":[8],"structures":[9],"within":[10],"biological":[11,79,94],"datasets.":[12],"These":[13],"typically":[16],"constructed":[17],"using":[18,125,201],"Pearson":[19,24],"or":[20,68],"partial":[21,35,116,131],"correlation":[22,25,36,95,117,132,162,185],"coefficients.":[23],"assesses":[26],"pairwise":[27],"associations":[28,38],"without":[29],"accounting":[30],"for":[31,41,92,121],"other":[32],"variables,":[33],"whereas":[34],"measures":[37],"while":[39],"adjusting":[40],"potential":[42],"confounders.":[43],"In":[44],"both":[45],"approaches,":[46],"network":[47,71],"construction":[48],"relies":[49],"on":[50,59,111],"statistical":[51,55],"significance":[52,56],"testing.":[53],"Because":[54],"depends":[57],"heavily":[58],"sample":[60],"size,":[61],"these":[62],"methods":[63],"may":[64],"result":[65],"in":[66],"under-":[67],"over-estimate":[69],"the":[70,77,112,122,138,149,152,183,196],"structure":[72],"failing":[73],"accurately":[75],"capture":[76],"underlying":[78,184],"interactions.":[80],"To":[81],"address":[82],"this":[83],"limitation,":[84],"we":[85],"propose":[86],"a":[87,126,159,171],"novel":[88],"cross-validation-based":[89],"method,":[90],"cvCorNet,":[91],"constructing":[93],"networks.":[96],"The":[97,141,164,193],"dataset":[98],"is":[99,144,168,198],"partitioned":[100],"into":[101],"training":[102,113],"and":[103,115,154,207],"test":[104,123,139],"sets.":[105],"Nodewise":[106],"regression":[107],"models":[108],"fitted":[110],"data,":[114],"predicted":[120,153],"data":[124],"user-specified":[127],"cutoff":[128,143],"value.":[129],"Simultaneously,":[130],"independently":[135],"estimated":[136,156],"from":[137,205],"data.":[140],"optimal":[142],"then":[145],"selected":[146],"by":[147,188],"maximizing":[148],"agreement":[150],"between":[151],"empirically":[155],"across":[158],"range":[160],"of":[161,166,174,195],"thresholds.":[163],"performance":[165],"cvCorNet":[167,180],"evaluated":[169],"under":[170],"broad":[172],"spectrum":[173],"simulated":[175],"scenarios.":[176],"Results":[177],"demonstrate":[178],"that":[179],"effectively":[181],"recovers":[182],"structure,":[186],"particularly":[187],"controlling":[189],"false":[190],"positive":[191],"edges.":[192],"application":[194],"method":[197],"further":[199],"illustrated":[200],"two":[202],"real-world":[203],"datasets":[204],"glycomics":[206],"acute":[208],"myeloid":[209],"leukemia":[210],"studies.":[211]},"counts_by_year":[],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2026-05-26T00:00:00"}