{"id":"https://openalex.org/W2911748972","doi":"https://doi.org/10.1109/bibm.2018.8621205","title":"Gene expression based prediction of prognostic outcome in ovarian cancer","display_name":"Gene expression based prediction of prognostic outcome in ovarian cancer","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911748972","doi":"https://doi.org/10.1109/bibm.2018.8621205","mag":"2911748972"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5009861775","display_name":"TaeJin Ahn","orcid":"https://orcid.org/0000-0001-5165-2744"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"TaeJin Ahn","raw_affiliation_strings":["Department of Life Science, Handong Global University, Pohang, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Life Science, Handong Global University, Pohang, Republic of Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036287038","display_name":"Nayeon Kang","orcid":"https://orcid.org/0000-0003-1759-5904"},"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":"Nayeon Kang","raw_affiliation_strings":["Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020544036","display_name":"Yonggab Kim","orcid":"https://orcid.org/0000-0001-9289-3261"},"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":"Yonggab Kim","raw_affiliation_strings":["Department of Statitics, Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statitics, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"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":false,"raw_author_name":"Taesung Park","raw_affiliation_strings":["Department of Statitics, Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statitics, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009861775"],"corresponding_institution_ids":["https://openalex.org/I113825674"],"apc_list":null,"apc_paid":null,"fwci":0.159,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49013767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1753","last_page":"1757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10550","display_name":"Ovarian cancer diagnosis and treatment","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2743","display_name":"Reproductive Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11482","display_name":"RNA modifications and cancer","score":0.9886000156402588,"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/univariate","display_name":"Univariate","score":0.6338738203048706},{"id":"https://openalex.org/keywords/ovarian-cancer","display_name":"Ovarian cancer","score":0.6133145689964294},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.6053609848022461},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.5496415495872498},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.49099233746528625},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.48163121938705444},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.46972930431365967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4643585681915283},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.39003127813339233},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3512499928474426},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.34451645612716675},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3316038250923157},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28825536370277405},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25092318654060364},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.22470006346702576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1147296130657196}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6338738203048706},{"id":"https://openalex.org/C2780427987","wikidata":"https://www.wikidata.org/wiki/Q172341","display_name":"Ovarian cancer","level":3,"score":0.6133145689964294},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6053609848022461},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.5496415495872498},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.49099233746528625},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.48163121938705444},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.46972930431365967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4643585681915283},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.39003127813339233},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3512499928474426},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.34451645612716675},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3316038250923157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28825536370277405},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25092318654060364},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.22470006346702576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1147296130657196},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm.2018.8621205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/187017","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/187017","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2079849392","https://openalex.org/W2088899370","https://openalex.org/W2123696077","https://openalex.org/W2152239989","https://openalex.org/W2570618306","https://openalex.org/W2606631147","https://openalex.org/W2736651304","https://openalex.org/W3012640819","https://openalex.org/W6775203400"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W204175656","https://openalex.org/W2911841387","https://openalex.org/W2803255289","https://openalex.org/W1512294453","https://openalex.org/W1993992974","https://openalex.org/W2550734047","https://openalex.org/W2176526134","https://openalex.org/W2341571017"],"abstract_inverted_index":{"Gene":[0],"expression":[1,58],"provides":[2],"rich":[3],"information.":[4],"Successful":[5],"application":[6],"has":[7,73,153],"made":[8,53],"to":[9,30,61,129,137,144,178],"predict":[10,62],"prognosis":[11,162],"of":[12,34,55,66,98,103,107,109,159,170,181],"several":[13],"cancers":[14],"such":[15],"as":[16],"breast":[17],"and":[18,166,184],"colon.":[19],"However,":[20],"although":[21],"ovarian":[22,67],"cancer":[23,29],"is":[24,37,43,77,89,114,135],"the":[25,63,96,110,124,133,138,142,145,156,160,171,179,189],"fifth":[26],"leading":[27],"death":[28],"women,":[31],"precise":[32],"prediction":[33],"survival":[35,104],"outcome":[36,65],"not":[38],"available":[39],"yet.":[40],"Thus":[41],"there":[42],"a":[44,91],"still":[45],"urgent":[46],"need":[47],"for":[48,118,188],"optimized":[49],"treatment":[50],"decision.Recent":[51],"studies":[52],"use":[54],"public":[56],"gene":[57],"data":[59,139,147],"sources":[60],"clinical":[64],"cancer.":[68],"Typically,":[69],"two":[70,111],"steps":[71,112],"approach":[72,113],"tried.":[74],"First":[75],"step":[76,88],"figuring":[78],"out":[79],"significant":[80],"genes":[81,100],"by":[82],"univariate":[83],"Cox":[84],"regression":[85],"model.":[86],"Second":[87],"providing":[90],"statistic":[92,134],"that":[93,155],"will":[94],"combine":[95],"effect":[97],"selected":[99],"in":[101,123],"terms":[102],"risk.":[105],"One":[106],"drawback":[108],"low":[115],"reproducibility.":[116],"Statistics":[117],"risk":[119,168],"group":[120],"classification":[121,157,180],"built":[122],"train":[125],"set":[126],"often":[127],"fails":[128],"be":[130],"validated":[131],"when":[132],"applied":[136,175],"set.":[140],"Applying":[141],"scheme":[143,183],"RNAseq":[146],"from":[148],"The":[149],"Cancer":[150],"Genome":[151],"Atlas(TCGA)":[152],"shown":[154],"results":[158],"patient's":[161,172],"was":[163],"classified":[164],"higher":[165],"lower":[167],"patient":[169],"prognosis.":[173],"We":[174],"median":[176],"standard":[177],"existing":[182],"suggested":[185],"other":[186],"schemes":[187],"successive":[190],"work.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
