{"id":"https://openalex.org/W1639681538","doi":"https://doi.org/10.1186/1471-2105-8-37","title":"Boolean networks using the chi-square test for inferring large-scale gene regulatory networks","display_name":"Boolean networks using the chi-square test for inferring large-scale gene regulatory networks","publication_year":2007,"publication_date":"2007-02-01","ids":{"openalex":"https://openalex.org/W1639681538","doi":"https://doi.org/10.1186/1471-2105-8-37","mag":"1639681538","pmid":"https://pubmed.ncbi.nlm.nih.gov/17270045"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-8-37","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-8-37","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-8-37","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-8-37","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031799596","display_name":"Haseong Kim","orcid":"https://orcid.org/0000-0002-4594-5791"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haseong Kim","raw_affiliation_strings":["Interdisciplinary Program in Bioinformatics, Seoul National University, South Korea. khs@bibs.snu.ac.kr <khs@bibs.snu.ac.kr>","Interdisciplinary Program in Bioinformatics, Seoul National University, , South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Program in Bioinformatics, Seoul National University, South Korea. khs@bibs.snu.ac.kr <khs@bibs.snu.ac.kr>","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Interdisciplinary Program in Bioinformatics, Seoul National University, , South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039418200","display_name":"Jae K. Lee","orcid":"https://orcid.org/0000-0001-7413-9783"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jae K Lee","raw_affiliation_strings":["Division of Biostatistics and Epidemiology, University of Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics and Epidemiology, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643662","display_name":"Taesung Park","orcid":"https://orcid.org/0000-0002-8294-590X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Taesung Park","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100643662"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":2.0188,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.85564278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"1","first_page":"37","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9359999895095825,"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":0.9359999895095825,"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":0.052400000393390656,"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":0.0017000000225380063,"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":0.7232027649879456},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7071707248687744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6303461194038391},{"id":"https://openalex.org/keywords/contingency-table","display_name":"Contingency table","score":0.5835292339324951},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.582234263420105},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.5678022503852844},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4811228811740875},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.43102535605430603},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4213874340057373},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41704031825065613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2498120367527008},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19484195113182068},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.18206053972244263},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.13296887278556824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12356087565422058},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11013814806938171},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.09847432374954224}],"concepts":[{"id":"https://openalex.org/C134444547","wikidata":"https://www.wikidata.org/wiki/Q585230","display_name":"Boolean network","level":3,"score":0.7232027649879456},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7071707248687744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6303461194038391},{"id":"https://openalex.org/C91998498","wikidata":"https://www.wikidata.org/wiki/Q1541178","display_name":"Contingency table","level":2,"score":0.5835292339324951},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.582234263420105},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.5678022503852844},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4811228811740875},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.43102535605430603},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4213874340057373},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41704031825065613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2498120367527008},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19484195113182068},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.18206053972244263},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.13296887278556824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12356087565422058},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11013814806938171},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.09847432374954224},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016009","descriptor_name":"Chi-Square Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016009","descriptor_name":"Chi-Square Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016009","descriptor_name":"Chi-Square Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-8-37","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-8-37","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-8-37","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:17270045","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/17270045","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:a7a0c4d0465d46fb8bdc7fa57c0ebf07","is_oa":true,"landing_page_url":"https://doaj.org/article/a7a0c4d0465d46fb8bdc7fa57c0ebf07","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 8, Iss 1, p 37 (2007)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:1802094","is_oa":true,"landing_page_url":"http://doi.org/10.1186/1471-2105-8-37","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-8-37","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-8-37","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-8-37","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322348","display_name":"Korea Science and Engineering Foundation","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1639681538.pdf","grobid_xml":"https://content.openalex.org/works/W1639681538.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W71642687","https://openalex.org/W1481919380","https://openalex.org/W1483118642","https://openalex.org/W1559547793","https://openalex.org/W1600339875","https://openalex.org/W1601808953","https://openalex.org/W1678889691","https://openalex.org/W1756428283","https://openalex.org/W1971224531","https://openalex.org/W1989284002","https://openalex.org/W1998332407","https://openalex.org/W2008107402","https://openalex.org/W2012852001","https://openalex.org/W2015722366","https://openalex.org/W2026480866","https://openalex.org/W2030387392","https://openalex.org/W2063389953","https://openalex.org/W2063813235","https://openalex.org/W2064151144","https://openalex.org/W2076983043","https://openalex.org/W2079829409","https://openalex.org/W2082982706","https://openalex.org/W2090554117","https://openalex.org/W2103453943","https://openalex.org/W2108020239","https://openalex.org/W2111123076","https://openalex.org/W2134978629","https://openalex.org/W2136988691","https://openalex.org/W2142634942","https://openalex.org/W2144885342","https://openalex.org/W2151098983","https://openalex.org/W2158823144","https://openalex.org/W2158973107","https://openalex.org/W2160533336","https://openalex.org/W2161409973","https://openalex.org/W2168399023","https://openalex.org/W3103786587","https://openalex.org/W4243518474","https://openalex.org/W4251933787","https://openalex.org/W4285719527","https://openalex.org/W4388252848"],"related_works":["https://openalex.org/W4297748217","https://openalex.org/W3098767140","https://openalex.org/W4236259642","https://openalex.org/W1977622751","https://openalex.org/W1971880564","https://openalex.org/W2770822254","https://openalex.org/W2013282292","https://openalex.org/W752301898","https://openalex.org/W1639681538","https://openalex.org/W2335219092"],"abstract_inverted_index":{"BACKGROUND:":[0],"Boolean":[1],"network":[2,59,81,133,220],"(BN)":[3],"modeling":[4],"is":[5,24,29,149],"a":[6,42],"commonly":[7],"used":[8],"method":[9,45,87,119,201],"for":[10,65],"constructing":[11],"gene":[12,38,105,218],"regulatory":[13,219],"networks":[14],"from":[15],"time":[16,28,76,206],"series":[17],"microarray":[18,104],"data.":[19],"However,":[20],"its":[21,26,126],"major":[22],"drawback":[23],"that":[25,46,112,140,192],"computation":[27,52,75,123,205],"very":[30],"high":[31],"or":[32],"often":[33],"impractical":[34],"to":[35,128,188],"construct":[36],"large-scale":[37,217],"networks.":[39],"We":[40],"propose":[41],"variable":[43],"selection":[44],"are":[47,88,170],"not":[48],"only":[49],"reduces":[50],"BN":[51,95,118,143,147,159,185,200,210],"times":[53,154],"significantly":[54,120],"but":[55],"also":[56],"obtains":[57],"optimal":[58],"constructions":[60],"by":[61,84],"using":[62],"chi-square":[63,115],"statistics":[64],"testing":[66,116],"the":[67,74,80,85,93,113,122,131,137,157,162,166,176,182,194,204,208],"independence":[68],"in":[69],"contingency":[70],"tables.":[71],"RESULTS:":[72],"Both":[73],"and":[77,99,152,172],"accuracy":[78],"of":[79,92,141,165,181,193,207],"structures":[82],"estimated":[83],"proposed":[86,114,146,183],"compared":[89],"with":[90],"those":[91],"original":[94,158,195,209],"methods":[96],"on":[97],"simulated":[98],"real":[100],"yeast":[101],"cell":[102],"cycle":[103],"expression":[106],"data":[107],"sets.":[108],"Our":[109],"results":[110],"reveal":[111],"(CST)-based":[117],"improves":[121,203],"time,":[124],"while":[125],"ability":[127],"identify":[129],"all":[130],"true":[132],"mechanisms":[134],"was":[135],"effectively":[136],"same":[138],"as":[139],"full-search":[142],"methods.":[144],"The":[145,198],"algorithm":[148,160,186],"approximately":[150],"70.8":[151],"7.6":[153],"faster":[155],"than":[156,191],"when":[161],"error":[163,179],"sizes":[164],"Best-Fit":[167],"Extension":[168],"problem":[169],"0":[171],"1,":[173],"respectively.":[174],"Further,":[175],"false":[177],"positive":[178],"rate":[180],"CST-based":[184,199],"tends":[187],"be":[189],"less":[190],"BN.":[196],"CONCLUSION:":[197],"dramatically":[202],"algorithm.":[211],"Therefore,":[212],"it":[213],"can":[214],"efficiently":[215],"infer":[216],"mechanisms.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":6}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}