{"id":"https://openalex.org/W2092350632","doi":"https://doi.org/10.1109/bigcomp.2014.6741402","title":"An algorithm for identifying differentially expressed genes in multiclass RNA-seq samples","display_name":"An algorithm for identifying differentially expressed genes in multiclass RNA-seq samples","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2092350632","doi":"https://doi.org/10.1109/bigcomp.2014.6741402","mag":"2092350632"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2014.6741402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2014.6741402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Big Data and Smart Computing (BIGCOMP)","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/A5074421414","display_name":"Jaehyun An","orcid":null},"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":"Jaehyun An","raw_affiliation_strings":["School of Computer Science and Engineering, Seoul National University, Seoul, South Korea","Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443628","display_name":"Kwangsoo Kim","orcid":"https://orcid.org/0000-0002-4586-5062"},"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":"Kwangsoo Kim","raw_affiliation_strings":["Bioinformatics Institute, Seoul National University, Seoul, South Korea","Bioinf. Inst., Seoul Nat. Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Bioinformatics Institute, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Bioinf. Inst., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107869513","display_name":"Sun Kim","orcid":null},"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":"Sun Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Seoul National University, Seoul, South Korea","Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074421414"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10223978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"40","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9988999962806702,"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":0.9988999962806702,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9745000004768372,"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/outlier","display_name":"Outlier","score":0.5855064392089844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.549289345741272},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48756998777389526},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.46736642718315125},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3960825502872467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3544806241989136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2895911931991577},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2606845498085022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21640020608901978},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1942591369152069}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5855064392089844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.549289345741272},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48756998777389526},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.46736642718315125},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3960825502872467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3544806241989136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2895911931991577},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2606845498085022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21640020608901978},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1942591369152069}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2014.6741402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2014.6741402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Big Data and Smart Computing (BIGCOMP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1544032942","https://openalex.org/W2022345949","https://openalex.org/W2096283457","https://openalex.org/W2097042991","https://openalex.org/W2097065948","https://openalex.org/W2097557760","https://openalex.org/W2098734857","https://openalex.org/W2100305481","https://openalex.org/W2100448568","https://openalex.org/W2113633750","https://openalex.org/W2114104545","https://openalex.org/W2119034410","https://openalex.org/W2122683221","https://openalex.org/W2142165994","https://openalex.org/W2150406132","https://openalex.org/W2152239989","https://openalex.org/W2170551349","https://openalex.org/W2324350519"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W4312411653"],"abstract_inverted_index":{"Gene":[0],"expression":[1],"in":[2,37,93,117,145],"the":[3,33,61,94,146,151,179],"whole":[4],"cell":[5],"can":[6],"be":[7],"routinely":[8],"measured":[9],"by":[10,15],"microarray":[11],"technologies":[12],"or":[13],"recently":[14],"using":[16],"sequencing":[17],"technologies.":[18],"Using":[19],"these":[20,74],"technologies,":[21],"identifying":[22,143],"Differentially":[23],"Expressed":[24],"Genes":[25],"(DEGs)":[26],"among":[27],"multiple":[28,147],"phenotypes":[29,71],"is":[30,106,126,153,176],"one":[31],"of":[32,119,181],"most":[34],"important":[35],"tasks":[36],"biology.":[38],"Thus":[39],"many":[40],"methods":[41,75,81],"for":[42,59,90,142,178],"detecting":[43,60],"DEGs":[44,92,111,144],"between":[45,63],"two":[46,64,70],"groups":[47],"has":[48],"been":[49],"developed.":[50],"For":[51],"example,":[52],"T-test":[53],"and":[54,79,86,104,138,150,163],"relative":[55],"entropy":[56],"are":[57,72,76,88,114],"used":[58,89],"difference":[62],"probability":[65],"distributions.":[66],"When":[67],"more":[68,127],"than":[69],"considered,":[73],"not":[77,107],"applicable":[78],"other":[80],"such":[82],"as":[83],"ANOVA":[84,98],"F-test":[85,99],"Kruskal-Wallis":[87,121],"finding":[91],"multiclass":[95],"data.":[96],"However,":[97],"assumes":[100],"a":[101,123,136,173],"normal":[102],"distribution":[103],"it":[105],"designed":[108],"to":[109,131,156],"identify":[110],"where":[112],"gene":[113],"expressed":[115],"distinctively":[116],"each":[118],"phenotypes.":[120],"method,":[122,125],"non-parametric":[124,137],"robust":[128],"but":[129],"sensitive":[130,155],"outliers.":[132,157],"This":[133],"paper":[134],"proposes":[135],"information":[139],"theoretical":[140],"approach":[141,152],"class":[148],"data":[149],"less":[154],"In":[158,171],"extensive":[159],"experiments":[160],"with":[161],"simulated":[162],"real":[164],"data,":[165],"our":[166],"method":[167],"outperformed":[168],"existing":[169],"tools.":[170],"addition,":[172],"web":[174],"service":[175],"implemented":[177],"analysis":[180],"multi-class":[182],"data:":[183],"http://biohealth.snu.ac.kr/software/degselection":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}