{"id":"https://openalex.org/W2586265918","doi":"https://doi.org/10.1109/smc.2016.7844279","title":"DSS: A biclustering method to identify diverse and state specific gene modules in gene expression data","display_name":"DSS: A biclustering method to identify diverse and state specific gene modules in gene expression data","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2586265918","doi":"https://doi.org/10.1109/smc.2016.7844279","mag":"2586265918"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5086413828","display_name":"Jungrim Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jungrim Kim","raw_affiliation_strings":["Department of Computer Science, Yonsei University Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089434512","display_name":"Yunku Yeu","orcid":"https://orcid.org/0000-0001-7544-531X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yunku Yeu","raw_affiliation_strings":["Department of Computer Science, Yonsei University Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860937","display_name":"Jeongwoo Kim","orcid":"https://orcid.org/0000-0001-9417-536X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongwoo Kim","raw_affiliation_strings":["Department of Computer Science, Yonsei University Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016587215","display_name":"Youngmi Yoon","orcid":"https://orcid.org/0000-0002-7420-4968"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngmi Yoon","raw_affiliation_strings":["Department of Computer Science, Gachon University, Seongnam, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Gachon University, Seongnam, South Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322270","display_name":"Sanghyun Park","orcid":"https://orcid.org/0000-0002-5196-6193"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghyun Park","raw_affiliation_strings":["Department of Computer Science, Yonsei University Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086413828"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.1667,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64880525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"92","issue":null,"first_page":"000430","last_page":"000436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9905999898910522,"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/biclustering","display_name":"Biclustering","score":0.8129827976226807},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.6143494844436646},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5759949684143066},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.5200445652008057},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4852154552936554},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.4570501148700714},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4492918848991394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39091673493385315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3649545907974243},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.34956222772598267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13315841555595398},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07757806777954102}],"concepts":[{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.8129827976226807},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.6143494844436646},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5759949684143066},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.5200445652008057},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4852154552936554},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4570501148700714},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4492918848991394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39091673493385315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3649545907974243},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.34956222772598267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13315841555595398},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07757806777954102},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W852111780","https://openalex.org/W1493217831","https://openalex.org/W1497256448","https://openalex.org/W1659842140","https://openalex.org/W1976434307","https://openalex.org/W2007213375","https://openalex.org/W2007227595","https://openalex.org/W2008459449","https://openalex.org/W2021709122","https://openalex.org/W2022756254","https://openalex.org/W2022967884","https://openalex.org/W2038169765","https://openalex.org/W2057514122","https://openalex.org/W2085349009","https://openalex.org/W2087122127","https://openalex.org/W2094834099","https://openalex.org/W2108025037","https://openalex.org/W2112706571","https://openalex.org/W2131848047","https://openalex.org/W2133465414","https://openalex.org/W2143065952","https://openalex.org/W2151763757","https://openalex.org/W2158217645","https://openalex.org/W2159482845","https://openalex.org/W2166186613","https://openalex.org/W2166325295","https://openalex.org/W4285719527","https://openalex.org/W6629329278"],"related_works":["https://openalex.org/W1974340769","https://openalex.org/W2900595096","https://openalex.org/W4289277241","https://openalex.org/W2979322793","https://openalex.org/W2765801824","https://openalex.org/W2188068678","https://openalex.org/W2157302779","https://openalex.org/W4236723217","https://openalex.org/W2611629964","https://openalex.org/W2113284213"],"abstract_inverted_index":{"The":[0,99],"biclustering":[1],"method":[2,21,51],"is":[3,127,160],"a":[4,19,37,89],"useful":[5],"co-clustering":[6],"technique":[7],"to":[8,22,40,73,148],"identify":[9,45],"biologically":[10],"relevant":[11],"gene":[12,27,33,41,47,101,122,132],"modules.":[13],"In":[14,80],"this":[15],"paper,":[16],"we":[17,82],"propose":[18],"novel":[20],"find":[23],"not":[24,76],"only":[25],"functionally-related":[26],"modules":[28,34,102,123,133],"but":[29],"also":[30],"state":[31],"specific":[32],"by":[35,87],"applying":[36],"genetic":[38,85],"algorithm":[39,86],"expression":[42],"data.":[43],"To":[44],"these":[46],"modules,":[48],"the":[49,67,70,74,78,84,94,97,110,129,136,140,149],"proposed":[50],"finds":[52],"biclusters":[53],"in":[54,66,69,77,109,139],"which":[55],"genes":[56],"are":[57,64,145],"statistically":[58],"overexpressed":[59],"or":[60],"under":[61],"expressed,":[62],"and":[63,117,124],"differentially-expressed":[65],"samples":[68,75],"bicluster":[71],"compared":[72],"bicluster.":[79],"addition,":[81],"improve":[83],"adding":[88],"selection":[90],"pool":[91],"for":[92],"preserving":[93],"diversity":[95],"of":[96,157],"population.":[98],"resulting":[100],"exhibit":[103],"better":[104],"performances":[105],"than":[106],"comparative":[107],"methods":[108],"GO":[111],"(Gene":[112],"Ontology)":[113],"term":[114],"enrichment":[115],"test":[116],"an":[118],"analysis":[119],"connection":[120],"between":[121],"disease.":[125],"This":[126],"especially":[128],"case":[130],"with":[131,162],"that":[134,155],"receive":[135],"highest":[137],"score":[138],"breast":[141,163],"cancer":[142],"dataset;":[143],"they":[144],"closely":[146],"linked":[147],"ribosome":[150,158],"pathway.":[151],"Recent":[152],"studies":[153],"show":[154],"dysregulation":[156],"biogenesis":[159],"associated":[161],"tumor":[164],"progression.":[165]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}