{"id":"https://openalex.org/W2005516743","doi":"https://doi.org/10.1145/1854776.1854842","title":"Effects of cDNA microarray time-series data size on gene regulatory network inference accuracy","display_name":"Effects of cDNA microarray time-series data size on gene regulatory network inference accuracy","publication_year":2010,"publication_date":"2010-08-02","ids":{"openalex":"https://openalex.org/W2005516743","doi":"https://doi.org/10.1145/1854776.1854842","mag":"2005516743"},"language":"en","primary_location":{"id":"doi:10.1145/1854776.1854842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1854776.1854842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082760446","display_name":"Vijender Chaitankar","orcid":null},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijender Chaitankar","raw_affiliation_strings":["The Univ of Southern Mississippi, Hattiesburg MS","the University of Southern Mississippi, Hattiesburg, MS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ of Southern Mississippi, Hattiesburg MS","institution_ids":["https://openalex.org/I44854399"]},{"raw_affiliation_string":"the University of Southern Mississippi, Hattiesburg, MS","institution_ids":["https://openalex.org/I44854399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080886331","display_name":"Preetam Ghosh","orcid":"https://orcid.org/0000-0003-3880-5886"},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Preetam Ghosh","raw_affiliation_strings":["The Univ of Southern Mississippi, Hattiesburg MS","the University of Southern Mississippi, Hattiesburg, MS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ of Southern Mississippi, Hattiesburg MS","institution_ids":["https://openalex.org/I44854399"]},{"raw_affiliation_string":"the University of Southern Mississippi, Hattiesburg, MS","institution_ids":["https://openalex.org/I44854399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603445","display_name":"Chaoyang Zhang","orcid":"https://orcid.org/0000-0002-1221-0406"},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaoyang Zhang","raw_affiliation_strings":["The Univ of Southern Mississippi, Hattiesburg MS","the University of Southern Mississippi, Hattiesburg, MS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ of Southern Mississippi, Hattiesburg MS","institution_ids":["https://openalex.org/I44854399"]},{"raw_affiliation_string":"the University of Southern Mississippi, Hattiesburg, MS","institution_ids":["https://openalex.org/I44854399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019029265","display_name":"Ping Gong","orcid":"https://orcid.org/0000-0001-9910-7948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping Gong","raw_affiliation_strings":["SpecPro Inc, Vicksburg, MS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SpecPro Inc, Vicksburg, MS","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075371599","display_name":"Edward J. Perkins","orcid":"https://orcid.org/0000-0003-1693-7714"},"institutions":[{"id":"https://openalex.org/I4210088792","display_name":"United States Army","ror":"https://ror.org/00afsp483","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210088792"]},{"id":"https://openalex.org/I87303767","display_name":"U.S. Army Engineer Research and Development Center","ror":"https://ror.org/027mhn368","country_code":"US","type":"facility","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1306490931","https://openalex.org/I1330347796","https://openalex.org/I87303767"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward J. Perkins","raw_affiliation_strings":["U.S. Army Engineer Research and Development Center, Vicksburg, MS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Army Engineer Research and Development Center, Vicksburg, MS","institution_ids":["https://openalex.org/I4210088792","https://openalex.org/I87303767"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"410","last_page":"413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998999834060669,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998999834060669,"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":0.9990000128746033,"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":0.995199978351593,"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/inference","display_name":"Inference","score":0.7799164652824402},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6439170837402344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367347836494446},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5875921249389648},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5474489331245422},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5373114347457886},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5071280002593994},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4808438718318939},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.4694010317325592},{"id":"https://openalex.org/keywords/time-point","display_name":"Time point","score":0.42995405197143555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29663771390914917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2876472473144531}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7799164652824402},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6439170837402344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367347836494446},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5875921249389648},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5474489331245422},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5373114347457886},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5071280002593994},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4808438718318939},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.4694010317325592},{"id":"https://openalex.org/C2779466056","wikidata":"https://www.wikidata.org/wiki/Q107630651","display_name":"Time point","level":2,"score":0.42995405197143555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29663771390914917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2876472473144531},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1854776.1854842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1854776.1854842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1481919380","https://openalex.org/W1963522244","https://openalex.org/W1973217014","https://openalex.org/W2023348596","https://openalex.org/W2040575507","https://openalex.org/W2063389953","https://openalex.org/W2098025145","https://openalex.org/W2103453943","https://openalex.org/W2123060905","https://openalex.org/W2136988691"],"related_works":["https://openalex.org/W2036846997","https://openalex.org/W2112223184","https://openalex.org/W2347586617","https://openalex.org/W2161963661","https://openalex.org/W2125614474","https://openalex.org/W2295845123","https://openalex.org/W2358054814","https://openalex.org/W2090882960","https://openalex.org/W2889544313","https://openalex.org/W2165061339"],"abstract_inverted_index":{"A":[0],"number":[1,37,118,170],"of":[2,20,25,28,36,38,51,66,79,100,119,138,171,214,221,235],"models":[3],"and":[4,223],"algorithms":[5,53,60,81],"have":[6],"been":[7],"proposed":[8],"in":[9,34,178],"the":[10,23,26,29,49,77,93,104,109,112,144,159,169,176,179,186,195,206,225],"past":[11],"for":[12,127,135,200,232],"gene":[13],"regulatory":[14],"network":[15,71,180],"(GRN)":[16],"inference;":[17],"however,":[18],"none":[19],"them":[21],"address":[22],"effects":[24],"size":[27,99],"time-series":[30,133],"microarray":[31],"expression":[32],"data":[33,67,89,101,134],"terms":[35],"time-points.":[39],"In":[40],"this":[41,45,153],"paper,":[42],"we":[43,155,209],"study":[44],"problem":[46],"by":[47,69],"analyzing":[48],"behavior":[50],"two":[52],"based":[54],"on":[55,63],"information":[56,160,190,229],"theory":[57],"models.":[58],"These":[59],"were":[61],"implemented":[62],"different":[64,126,128],"sizes":[65],"generated":[68],"synthetic":[70],"generation":[72],"tools.":[73],"Experiments":[74],"show":[75],"that":[76,111,131,158,188],"performances":[78],"these":[80],"reach":[82],"a":[83,87,116,136,148,211],"saturation":[84,123],"point":[85,124],"after":[86,115],"specific":[88,117],"size,":[90],"thus":[91],"giving":[92],"biologist":[94],"an":[95],"idea":[96],"about":[97],"what":[98],"will":[102,140],"give":[103],"best":[105,196],"inference":[106,145,202],"accuracy.":[107],"Also,":[108],"fact":[110,187],"accuracy":[113,146],"saturates":[114],"time":[120,172,216,226],"points":[121,173],"(the":[122],"being":[125],"algorithms)":[129],"suggests":[130],"generating":[132],"lot":[137],"time-points":[139],"not":[141,193],"necessary":[142],"improve":[143],"beyond":[147],"certain":[149],"point.":[150],"To":[151,204],"understand":[152],"saturation,":[154],"found":[156],"out":[157],"theoretic":[161],"quantity,":[162],"mutual":[163,189,228],"information,":[164],"tends":[165],"to":[166,182,198],"zero":[167],"as":[168],"increase":[174],"although":[175],"entropy":[177],"rises":[181],"unity.":[183],"This":[184],"illustrates":[185],"(MI)":[191],"might":[192],"be":[194],"metric":[197,208,231],"use":[199],"GRN":[201],"algorithms.":[203],"modify":[205],"MI":[207],"introduce":[210],"new":[212],"method":[213],"computing":[215],"lags":[217],"between":[218],"any":[219],"pair":[220],"genes":[222],"present":[224],"lagged":[227],"(TLMI)":[230],"reverse":[233],"engineering":[234],"GRNs.":[236]},"counts_by_year":[{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
