{"id":"https://openalex.org/W4392568111","doi":"https://doi.org/10.1145/3638569.3638571","title":"A Multiclass Method for Selecting Differentially-Expressed and Cell-Type-Discriminative Genes from scRNA-Seq Data","display_name":"A Multiclass Method for Selecting Differentially-Expressed and Cell-Type-Discriminative Genes from scRNA-Seq Data","publication_year":2023,"publication_date":"2023-12-11","ids":{"openalex":"https://openalex.org/W4392568111","doi":"https://doi.org/10.1145/3638569.3638571"},"language":"en","primary_location":{"id":"doi:10.1145/3638569.3638571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638569.3638571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029222157","display_name":"G. Ng","orcid":"https://orcid.org/0000-0003-4957-6740"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Grace Yee Lin Ng","raw_affiliation_strings":["Faculty of Information Science and Technology, Multimedia University, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-4957-6740","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Multimedia University, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040545448","display_name":"Chia Sui Ong","orcid":"https://orcid.org/0000-0002-4130-6861"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Chia Sui Ong","raw_affiliation_strings":["Faculty of Information Science and Technology, Multimedia University, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-4130-6861","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Multimedia University, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053906728","display_name":"Shing Chiang Tan","orcid":"https://orcid.org/0000-0002-1267-1894"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Shing Chiang Tan","raw_affiliation_strings":["Faculty of Information Science and Technology, Multimedia University, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-1267-1894","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Multimedia University, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173029219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9984999895095825,"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":0.9984999895095825,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9968000054359436,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7977973818778992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5761185884475708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5361075401306152},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.47371023893356323},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.45551127195358276},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.440297931432724},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3280724287033081},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.24436038732528687},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.22453534603118896}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7977973818778992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5761185884475708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5361075401306152},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.47371023893356323},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.45551127195358276},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.440297931432724},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3280724287033081},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.24436038732528687},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.22453534603118896},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3638569.3638571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638569.3638571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics","raw_type":"proceedings-article"},{"id":"pmh:oai:shdl.mmu.edu.my:12187","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196753","display_name":"Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173029219","host_organization_name":"Multimedia University","host_organization_lineage":["https://openalex.org/I173029219"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2602759579","display_name":null,"funder_award_id":"MMUI/220082","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1552434751","https://openalex.org/W1757909678","https://openalex.org/W1967327758","https://openalex.org/W1981963681","https://openalex.org/W1988391018","https://openalex.org/W2007439698","https://openalex.org/W2101234009","https://openalex.org/W2120205807","https://openalex.org/W2179438025","https://openalex.org/W2190545194","https://openalex.org/W2307567449","https://openalex.org/W2551194178","https://openalex.org/W2565353914","https://openalex.org/W2598326928","https://openalex.org/W2746479894","https://openalex.org/W2796170779","https://openalex.org/W2926010705","https://openalex.org/W3009609875","https://openalex.org/W3129151097","https://openalex.org/W3131383906","https://openalex.org/W3214280461","https://openalex.org/W4285728106","https://openalex.org/W4294107304","https://openalex.org/W6675354045","https://openalex.org/W6959643953"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2082783427"],"abstract_inverted_index":{"Log":[0],"fold":[1],"change":[2],"(LFC)":[3],"is":[4,138,178],"a":[5,129],"common":[6],"measure":[7,127],"used":[8,114],"in":[9,17,25,47,73,107],"differential":[10,58],"expression":[11,19,59],"analysis":[12],"to":[13,64,90,97,122,140,159,186,216],"examine":[14],"the":[15,26,79,108,124,142,153,163,167,175,182,192,197,217],"differences":[16],"gene":[18,220],"between":[20,93],"two":[21,94],"experimental":[22],"classes,":[23],"as":[24,128,187,189,214],"data":[27,39,75],"generated":[28],"by":[29,166],"microarray":[30],"or":[31,44,54],"bulk":[32],"RNA":[33],"sequencing.":[34],"Many":[35],"single-cell":[36],"RNA-seq":[37],"(scRNA-seq)":[38],"are":[40,87,113],"labelled":[41],"with":[42,100],"three":[43],"more":[45,208],"classes":[46,72],"terms":[48],"of":[49,116,180,184,191,212,225],"cell":[50,52,55,206],"types,":[51],"states,":[53],"stages.":[56],"Several":[57],"methods":[60,86],"have":[61,103],"been":[62,105,157],"introduced":[63,106],"select":[65,98],"differentially":[66],"expressed":[67],"genes":[68,155,164,185,199],"(DEGs)":[69],"among":[70],"different":[71,111],"scRNA-seq":[74,194,219],"while":[76],"accounting":[77],"for":[78],"technical":[80],"and":[81,161],"biological":[82],"variations.":[83],"However,":[84],"these":[85],"only":[88],"applicable":[89],"perform":[91],"comparisons":[92,102],"classes.":[95],"Methods":[96],"DEGs":[99,131,143],"multiclass":[101,130,168],"also":[104],"literature,":[109],"but":[110],"measures":[112],"instead":[115],"LFC.":[117],"Thus,":[118],"this":[119],"study":[120],"aims":[121],"impose":[123],"impactful":[125],"LFC":[126,169],"selection":[132,221],"method.":[133,170],"The":[134,171],"majority":[135],"voting":[136],"concept":[137],"incorporated":[139],"aggregate":[141],"from":[144],"every":[145],"pairwise":[146],"class":[147],"comparison.":[148],"Cell":[149],"type":[150],"classification":[151],"using":[152],"selected":[154,165,198],"has":[156],"performed":[158],"evaluate":[160],"validate":[162],"results":[172],"show":[173],"that":[174],"proposed":[176],"method":[177,222],"capable":[179],"reducing":[181],"number":[183],"low":[188],"26.05%":[190],"initial":[193],"data.":[195],"Moreover,":[196],"can":[200],"classify":[201],"cells":[202],"into":[203],"their":[204],"respective":[205],"types":[207],"accurately":[209],"(an":[210,223],"accuracy":[211,224],"0.9425)":[213],"compared":[215],"existing":[218],"0.9137).":[226]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}