{"id":"https://openalex.org/W2152683391","doi":"https://doi.org/10.1109/bibm.2010.5706615","title":"Discovering negative correlated gene sets from integrative gene expression data for cancer prognosis","display_name":"Discovering negative correlated gene sets from integrative gene expression data for cancer prognosis","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2152683391","doi":"https://doi.org/10.1109/bibm.2010.5706615","mag":"2152683391"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2010.5706615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2010.5706615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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/A5026321844","display_name":"Tao Zeng","orcid":"https://orcid.org/0000-0002-0295-3994"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Zeng","raw_affiliation_strings":["School of Computer, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075184660","display_name":"Xuan Guo","orcid":"https://orcid.org/0000-0002-2777-4482"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Guo","raw_affiliation_strings":["School of Computer, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100446290","display_name":"Juan Liu","orcid":"https://orcid.org/0000-0001-9344-7415"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Liu","raw_affiliation_strings":["School of Computer, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026321844"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13574242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"415","issue":null,"first_page":"489","last_page":"492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987999796867371,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9909999966621399,"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/biomedicine","display_name":"Biomedicine","score":0.6655205488204956},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5964416265487671},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.5577735304832458},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5114278197288513},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.501225471496582},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.450175017118454},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3936276435852051},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37084466218948364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36989039182662964},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.33542418479919434},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.28740692138671875},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.2441388964653015},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12368530035018921}],"concepts":[{"id":"https://openalex.org/C66782513","wikidata":"https://www.wikidata.org/wiki/Q864601","display_name":"Biomedicine","level":2,"score":0.6655205488204956},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5964416265487671},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.5577735304832458},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5114278197288513},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.501225471496582},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.450175017118454},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3936276435852051},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37084466218948364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36989039182662964},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.33542418479919434},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28740692138671875},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2441388964653015},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12368530035018921}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2010.5706615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2010.5706615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1529599357","https://openalex.org/W1982730485","https://openalex.org/W1992045522","https://openalex.org/W2093947039","https://openalex.org/W2099273977","https://openalex.org/W2117926385","https://openalex.org/W2121074479","https://openalex.org/W2121463966","https://openalex.org/W2128160790","https://openalex.org/W2128985829","https://openalex.org/W2132033004","https://openalex.org/W2145770068","https://openalex.org/W2153635508","https://openalex.org/W2166335393","https://openalex.org/W2167769381","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W2017899917","https://openalex.org/W2080571363","https://openalex.org/W2481322495","https://openalex.org/W2898682754","https://openalex.org/W2889841093","https://openalex.org/W2151082141","https://openalex.org/W2365236913","https://openalex.org/W3194374240","https://openalex.org/W2993861175","https://openalex.org/W2096756458"],"abstract_inverted_index":{"Along":[0],"with":[1,137,160],"the":[2,23,51,73,87,100,110,138,153],"emergence":[3],"and":[4,10,34,105,133],"development":[5],"of":[6,25,54,80,156],"translational":[7],"biomedicine,":[8],"more":[9,11],"genetic":[12,26,61],"information":[13],"has":[14],"been":[15,38],"applied":[16],"in":[17,113,118],"clinical":[18],"practice.":[19],"In":[20],"recent":[21],"decade,":[22],"discovery":[24],"biomarkers":[27,62],"for":[28,144],"cancer":[29,114,157],"prognosis":[30,145,158],"obtains":[31],"increasing":[32],"attentions":[33],"many":[35],"methods":[36,42,58,76,89],"have":[37,151],"developed.":[39],"The":[40,56,147],"\"element\"":[41],"use":[43,59,77,134],"one":[44],"or":[45],"two":[46],"independent":[47],"genes":[48,95],"to":[49,63,123],"judge":[50],"Boolean":[52],"status":[53],"disease.":[55],"\"set\"":[57],"general":[60],"classify":[64],"patients":[65],"into":[66],"different":[67,81],"risks":[68],"as":[69,84],"a":[70,78],"whole.":[71],"And":[72],"advanced":[74],"\"sets\"":[75],"group":[79],"gene":[82,127,142],"sets":[83,128,143],"biomarkers.":[85],"However,":[86],"existing":[88],"always":[90],"concern":[91],"positive":[92,140],"correlations":[93],"among":[94],"ignoring":[96],"negative":[97,101,103,125],"correlations.":[98],"Whereas":[99],"regulation,":[102],"feedback,":[104],"functional":[106],"repression":[107],"are":[108],"actually":[109],"important":[111],"clues":[112],"expression":[115],"profiles.":[116],"Therefore,":[117],"this":[119],"paper,":[120],"we":[121],"propose":[122],"mine":[124],"correlated":[126,141],"(NCGSs)":[129],"from":[130],"multiple":[131],"datasets,":[132],"them":[135],"along":[136],"pure":[139],"classification.":[146],"exploring":[148],"experimental":[149],"results":[150],"shown":[152],"encouraging":[154],"promotion":[155],"accuracy":[159],"NCGSs.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}