{"id":"https://openalex.org/W4293518098","doi":"https://doi.org/10.1109/cibcb55180.2022.9863035","title":"Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data","display_name":"Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data","publication_year":2022,"publication_date":"2022-08-15","ids":{"openalex":"https://openalex.org/W4293518098","doi":"https://doi.org/10.1109/cibcb55180.2022.9863035"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb55180.2022.9863035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb55180.2022.9863035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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/A5019819108","display_name":"Shuhei Kimura","orcid":"https://orcid.org/0000-0002-6246-2636"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shuhei Kimura","raw_affiliation_strings":["Tottori University,Faculty of Engineering,Tottori,Japan","Faculty of Engineering, Tottori University, Tottori, Japan"],"affiliations":[{"raw_affiliation_string":"Tottori University,Faculty of Engineering,Tottori,Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Faculty of Engineering, Tottori University, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025919113","display_name":"Kazuki Sota","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Sota","raw_affiliation_strings":["Graduate School of Sustainability Sciences, Tottori University,Tottori,Japan","Graduate School of Sustainability Sciences, Tottori University, Tottori, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Sustainability Sciences, Tottori University,Tottori,Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Graduate School of Sustainability Sciences, Tottori University, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030132908","display_name":"Masato Tokuhisa","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Tokuhisa","raw_affiliation_strings":["Tottori University,Faculty of Engineering,Tottori,Japan","Faculty of Engineering, Tottori University, Tottori, Japan"],"affiliations":[{"raw_affiliation_string":"Tottori University,Faculty of Engineering,Tottori,Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Faculty of Engineering, Tottori University, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019819108"],"corresponding_institution_ids":["https://openalex.org/I4588055"],"apc_list":null,"apc_paid":null,"fwci":0.26,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52142789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994999766349792,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9994999766349792,"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":0.9970999956130981,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.996399998664856,"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/weighting","display_name":"Weighting","score":0.7554485201835632},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.736304521560669},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6636629700660706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6178385019302368},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5222038626670837},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5169402956962585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47047358751296997},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3778172731399536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3643622398376465},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34837836027145386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2012280821800232},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18786200881004333},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.068900465965271}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7554485201835632},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.736304521560669},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6636629700660706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6178385019302368},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5222038626670837},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5169402956962585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47047358751296997},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3778172731399536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3643622398376465},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34837836027145386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2012280821800232},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18786200881004333},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.068900465965271},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb55180.2022.9863035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb55180.2022.9863035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W29579115","https://openalex.org/W1481919380","https://openalex.org/W1963522244","https://openalex.org/W1966104545","https://openalex.org/W1984196434","https://openalex.org/W1986688807","https://openalex.org/W2024081693","https://openalex.org/W2076513103","https://openalex.org/W2082982706","https://openalex.org/W2088343152","https://openalex.org/W2098740506","https://openalex.org/W2115664087","https://openalex.org/W2139997707","https://openalex.org/W2153355914","https://openalex.org/W2166106382","https://openalex.org/W2170484057","https://openalex.org/W2498761000","https://openalex.org/W2770463049","https://openalex.org/W2803928488","https://openalex.org/W2911964244","https://openalex.org/W2937980818","https://openalex.org/W2951424836","https://openalex.org/W3088462269","https://openalex.org/W3111779026","https://openalex.org/W3162192582","https://openalex.org/W6628887588"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W4394984040","https://openalex.org/W2381031055","https://openalex.org/W2366070815"],"abstract_inverted_index":{"Several":[0],"researchers":[1],"have":[2,17],"focused":[3],"on":[4,130],"the":[5,23,28,34,38,78,81,86,92,95,107,126,131,134,139,146,151,159,162],"inference":[6,15,24,40,83,164],"of":[7,12,80,133,161],"genetic":[8,13],"networks.":[9],"A":[10],"number":[11],"network":[14],"methods":[16,25],"therefore":[18],"been":[19],"proposed.":[20],"Among":[21],"them,":[22],"that":[26,44,145],"use":[27],"random":[29],"forest":[30],"show":[31,144],"promise.":[32],"Through":[33,138],"numerical":[35,140],"experiment":[36],"with":[37],"random-forest-based":[39,82,163],"method,":[41],"we":[42,67,114,142],"found":[43],"its":[45],"performance":[46,79,160],"is":[47,101],"improved":[48],"by":[49,150],"assigning":[50],"appropriate":[51],"weight":[52,73,87,108,127,147],"values":[53,88,105,128,148],"to":[54,63,91,103,157],"gene":[55],"expression":[56],"data.":[57],"In":[58,111],"our":[59],"earlier":[60],"work,":[61],"according":[62,90],"this":[64,112],"experimental":[65],"fact,":[66],"proposed":[68,123,152],"\u201cthe":[69],"guidelines":[70,96],"for":[71,106],"determining":[72],"parameters.\u201d":[74],"We":[75],"can":[76],"improve":[77],"method":[84,124,154,165],"using":[85],"determined":[89,149],"guidelines.":[93],"As":[94],"are":[97,155],"qualitative,":[98],"however,":[99],"it":[100],"difficult":[102],"determine":[104],"parameters":[109],"uniquely.":[110],"study,":[113],"thus":[115],"propose":[116],"a":[117],"new":[118],"quantitative":[119],"weighting":[120,153],"method.":[121],"The":[122],"determines":[125],"only":[129],"basis":[132],"similarity":[135],"between":[136],"measurements.":[137],"experiments,":[141],"finally":[143],"likely":[156],"make":[158],"better.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
