{"id":"https://openalex.org/W3012246243","doi":"https://doi.org/10.1145/3377049.3377080","title":"A Boolean network inference from time-series gene expression data using a statistical method","display_name":"A Boolean network inference from time-series gene expression data using a statistical method","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W3012246243","doi":"https://doi.org/10.1145/3377049.3377080","mag":"3012246243"},"language":"en","primary_location":{"id":"doi:10.1145/3377049.3377080","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","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/A5044605708","display_name":"Shohag Barman","orcid":"https://orcid.org/0000-0002-0299-1608"},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Shohag Barman","raw_affiliation_strings":["Department of Computer Science, American International University-Bangladesh, Kuratoli, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, American International University-Bangladesh, Kuratoli, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037353831","display_name":"Hira Lal Gope","orcid":"https://orcid.org/0000-0002-9431-091X"},"institutions":[{"id":"https://openalex.org/I135366938","display_name":"Sylhet Agricultural University","ror":"https://ror.org/000n1k313","country_code":"BD","type":"education","lineage":["https://openalex.org/I135366938"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Hira Lal Gope","raw_affiliation_strings":["Department of Computer Science and Engineering, Sylhet Agricultural University, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sylhet Agricultural University, Bangladesh","institution_ids":["https://openalex.org/I135366938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088493382","display_name":"Yung\u2010Keun Kwon","orcid":"https://orcid.org/0000-0001-5879-8703"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yung-Keun Kwon","raw_affiliation_strings":["Department of IT Convergence University of Ulsan, Nam-gu, Ulsan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of IT Convergence University of Ulsan, Nam-gu, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044605708"],"corresponding_institution_ids":["https://openalex.org/I103434671"],"apc_list":null,"apc_paid":null,"fwci":0.0829,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42338127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9983000159263611,"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":0.9965000152587891,"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/boolean-network","display_name":"Boolean network","score":0.7090338468551636},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.6807741522789001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.650139331817627},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6282877922058105},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5682113170623779},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5558583736419678},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.471913605928421},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.46372362971305847},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4493022561073303},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.44791683554649353},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4429880380630493},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4401813745498657},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.4356602430343628},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3676648736000061},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3244030177593231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3162170946598053},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.2555326819419861},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22277477383613586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2166975736618042},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.18078374862670898},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.16224166750907898},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.1154794991016388},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.08529800176620483}],"concepts":[{"id":"https://openalex.org/C134444547","wikidata":"https://www.wikidata.org/wiki/Q585230","display_name":"Boolean network","level":3,"score":0.7090338468551636},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.6807741522789001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650139331817627},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6282877922058105},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5682113170623779},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5558583736419678},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.471913605928421},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.46372362971305847},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4493022561073303},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.44791683554649353},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4429880380630493},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4401813745498657},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.4356602430343628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3676648736000061},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3244030177593231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3162170946598053},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.2555326819419861},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22277477383613586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2166975736618042},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.18078374862670898},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16224166750907898},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.1154794991016388},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.08529800176620483},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377049.3377080","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1594122808","https://openalex.org/W1600339875","https://openalex.org/W1971224531","https://openalex.org/W2008620264","https://openalex.org/W2063389953","https://openalex.org/W2078149659","https://openalex.org/W2115552299","https://openalex.org/W2586478664","https://openalex.org/W2891454102","https://openalex.org/W6671346601"],"related_works":["https://openalex.org/W2020413892","https://openalex.org/W2330768201","https://openalex.org/W2093463665","https://openalex.org/W1422717320","https://openalex.org/W2794960257","https://openalex.org/W2903672469","https://openalex.org/W2108120899","https://openalex.org/W2102122784","https://openalex.org/W256699647","https://openalex.org/W2128085946"],"abstract_inverted_index":{"Accurate":[0],"gene":[1,24,62,77,80,107],"regulatory":[2,25,41,63,79,108,182],"network":[3,26,102,109,120,148,183,203],"inference":[4],"from":[5,27],"time-series":[6],"data":[7],"is":[8,69,88,103,112],"a":[9,23],"challenging":[10],"problem":[11],"in":[12,81,174,209],"computational":[13],"biology.":[14],"Recently,":[15],"various":[16],"methods":[17,207],"have":[18],"been":[19],"developed":[20],"to":[21,45,71,94,105,114,166],"infer":[22],"time":[28],"series":[29],"data.":[30],"Most":[31],"of":[32,126,142,180],"which":[33],"are":[34],"not":[35],"scalable,":[36],"because":[37,110],"they":[38],"limited":[39],"the":[40,49,73,82,86,96,124,140,153,158,210],"genes":[42],"by":[43,90],"1":[44],"3.":[46],"To":[47,122],"resolve":[48],"problem,":[50],"we":[51,129],"propose":[52,144],"an":[53,131],"efficient":[54],"statistical":[55],"method":[56,145,160,173,196],"called":[57],"chi-square":[58,83],"test":[59,72],"for":[60],"inferring":[61],"network.":[64,188],"A":[65,100],"significant":[66],"threshold":[67],"p-value":[68,87],"considered":[70],"independence":[74],"between":[75],"target":[76],"and":[78,116,138,149,184,204],"test.":[84],"Moreover,":[85],"corrected":[89],"Bonferroni":[91],"Step-down":[92],"(Holm)":[93],"reduce":[95],"false":[97],"positives":[98],"rate.":[99],"Boolean":[101],"employed":[104],"model":[106],"it":[111,117],"simple":[113],"implement,":[115],"can":[118],"capture":[119],"dynamics.":[121],"evaluate":[123],"performance":[125,141,200],"our":[127,143,172,194],"method,":[128],"conducted":[130],"extensive":[132],"simulation":[133,190],"based":[134],"on":[135],"artificial":[136],"datasets":[137],"compare":[139],"with":[146,164],"Relevance":[147],"Pearson":[150,205],"correlation":[151,206],"methods,":[152],"experimental":[154],"result":[155],"shows":[156],"that":[157,193],"proposed":[159,195],"significantly":[161],"outperforms":[162],"them":[163],"respect":[165],"structural":[167,199],"accuracies.":[168],"We":[169],"further":[170],"tested":[171],"two":[175],"biological":[176],"networks:":[177],"SOS":[178],"response":[179],"E.coli":[181],"C.elegans":[185],"cell":[186],"cycle":[187],"The":[189],"results":[191],"demonstrated":[192],"achieves":[197],"better":[198],"than":[201],"relevance":[202],"also":[208],"real":[211],"dataset.":[212]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}