{"id":"https://openalex.org/W2216756720","doi":"https://doi.org/10.1109/bibm.2015.7359875","title":"Competitive pathway analysis using Structural Equation Models (CPA-SEM) for gene expression data","display_name":"Competitive pathway analysis using Structural Equation Models (CPA-SEM) for gene expression data","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2216756720","doi":"https://doi.org/10.1109/bibm.2015.7359875","mag":"2216756720"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2015.7359875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5090214669","display_name":"Sungkyoung Choi","orcid":"https://orcid.org/0000-0002-4266-5911"},"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":"Sungkyoung Choi","raw_affiliation_strings":["Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076575654","display_name":"Sungyoung Lee","orcid":"https://orcid.org/0000-0003-3458-1440"},"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":"Sungyoung Lee","raw_affiliation_strings":["Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001526423","display_name":"Iksoo Huh","orcid":"https://orcid.org/0000-0003-2472-9501"},"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":"Iksoo Huh","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015487584","display_name":"Heungsun Hwang","orcid":"https://orcid.org/0000-0002-5057-7479"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Heungsun Hwang","raw_affiliation_strings":["Department of Psychology, McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028461400","display_name":"Ji Wan Park","orcid":"https://orcid.org/0000-0003-0840-1696"},"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":"Taesung Park","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090214669"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07431128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"1351","last_page":"1358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9993000030517578,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9993000030517578,"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":0.9915000200271606,"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/structural-equation-modeling","display_name":"Structural equation modeling","score":0.7683799862861633},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.5297611355781555},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5194463133811951},{"id":"https://openalex.org/keywords/signal-transduction","display_name":"Signal transduction","score":0.4710053503513336},{"id":"https://openalex.org/keywords/trait","display_name":"Trait","score":0.44195640087127686},{"id":"https://openalex.org/keywords/biological-pathway","display_name":"Biological pathway","score":0.42908334732055664},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.42293447256088257},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.42254605889320374},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.41880229115486145},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.41786617040634155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35321009159088135},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.3074433207511902},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13341578841209412}],"concepts":[{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.7683799862861633},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.5297611355781555},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5194463133811951},{"id":"https://openalex.org/C62478195","wikidata":"https://www.wikidata.org/wiki/Q828130","display_name":"Signal transduction","level":2,"score":0.4710053503513336},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.44195640087127686},{"id":"https://openalex.org/C9927688","wikidata":"https://www.wikidata.org/wiki/Q4915012","display_name":"Biological pathway","level":4,"score":0.42908334732055664},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.42293447256088257},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.42254605889320374},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.41880229115486145},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.41786617040634155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35321009159088135},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.3074433207511902},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13341578841209412},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2015.7359875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1501604770","https://openalex.org/W1535641839","https://openalex.org/W1543415010","https://openalex.org/W1550254144","https://openalex.org/W1913957972","https://openalex.org/W1966610596","https://openalex.org/W1967925177","https://openalex.org/W1983463159","https://openalex.org/W1990424719","https://openalex.org/W1998902445","https://openalex.org/W2000190151","https://openalex.org/W2023429762","https://openalex.org/W2028133290","https://openalex.org/W2028922548","https://openalex.org/W2049053063","https://openalex.org/W2052179436","https://openalex.org/W2055157797","https://openalex.org/W2056453713","https://openalex.org/W2059334100","https://openalex.org/W2102140960","https://openalex.org/W2102992354","https://openalex.org/W2110687686","https://openalex.org/W2114759909","https://openalex.org/W2130962401","https://openalex.org/W2131989143","https://openalex.org/W2140774332","https://openalex.org/W2148460690","https://openalex.org/W2150414518","https://openalex.org/W2154362705","https://openalex.org/W2157005974","https://openalex.org/W2157795344","https://openalex.org/W2159482845","https://openalex.org/W2163680522","https://openalex.org/W2166574880","https://openalex.org/W2167119716","https://openalex.org/W2168748064","https://openalex.org/W2240434829","https://openalex.org/W2411533139","https://openalex.org/W4211081611","https://openalex.org/W4242404314","https://openalex.org/W4294107304","https://openalex.org/W4294216483","https://openalex.org/W4298091299","https://openalex.org/W4300165600","https://openalex.org/W4399513990","https://openalex.org/W6690310895","https://openalex.org/W6715120588"],"related_works":["https://openalex.org/W2303173273","https://openalex.org/W2024934382","https://openalex.org/W2513767888","https://openalex.org/W1971798297","https://openalex.org/W3147308590","https://openalex.org/W1528049813","https://openalex.org/W1968285868","https://openalex.org/W4388140417","https://openalex.org/W2364043478","https://openalex.org/W1971040006"],"abstract_inverted_index":{"There":[0],"is":[1,83],"an":[2],"increasing":[3],"interest":[4],"in":[5,15,68,90],"the":[6,31,86,107],"pathway":[7,24,50,124,132],"analysis":[8,25,51,147],"of":[9,21,23,60,78,115,152,162],"multiple":[10],"genes":[11,67],"and":[12,99,119],"complex":[13,37],"traits":[14,77],"association":[16],"studies.":[17],"Recently,":[18],"a":[19,44,69,149,160],"number":[20],"methods":[22],"have":[26],"been":[27,135],"developed":[28],"to":[29,111,137],"detect":[30],"novel":[32,45],"pathways":[33,74,157],"associated":[34,75,127,139,158],"with":[35,76,128,140,159],"human":[36],"traits.":[38],"In":[39,143],"this":[40],"paper,":[41],"we":[42],"propose":[43],"statistical":[46],"approach":[47,82],"for":[48],"competitive":[49],"based":[52,102],"on":[53,63],"Structural":[54],"Equation":[55],"Modeling":[56],"(CPA-SEM),":[57],"taking":[58],"advantage":[59],"prior":[61],"knowledge":[62],"existing":[64],"relationships":[65],"between":[66],"pathway.":[70],"Our":[71],"CPA-SEM":[72,81,109,146],"identifies":[73],"interest.":[79,163],"The":[80],"different":[84],"from":[85],"previous":[87],"SEM-based":[88],"approaches":[89],"that":[91,121],"it":[92],"considers":[93],"all":[94],"possible":[95],"sub-pathways":[96],"into":[97],"account":[98],"performs":[100],"permutation":[101],"robust":[103],"analysis.":[104],"We":[105],"applied":[106],"proposed":[108],"method":[110],"gene":[112],"expression":[113],"data":[114],"gastric":[116,129,141],"cancer":[117],"(GSE27342),":[118],"found":[120],"mTOR":[122],"signaling":[123],"was":[125],"significantly":[126],"cancer.":[130,142],"This":[131],"has":[133],"previously":[134],"reported":[136],"be":[138],"conclusion,":[144],"our":[145],"provides":[148],"better":[150],"understanding":[151],"biological":[153],"mechanism":[154],"by":[155],"identifying":[156],"trait":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
