{"id":"https://openalex.org/W2747326482","doi":"https://doi.org/10.1145/3107411.3107483","title":"A Novel Approach for Classifying Gene Expression Data using Topic Modeling","display_name":"A Novel Approach for Classifying Gene Expression Data using Topic Modeling","publication_year":2017,"publication_date":"2017-08-20","ids":{"openalex":"https://openalex.org/W2747326482","doi":"https://doi.org/10.1145/3107411.3107483","mag":"2747326482"},"language":"en","primary_location":{"id":"doi:10.1145/3107411.3107483","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3107411.3107483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://corescholar.libraries.wright.edu/knoesis/1135","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059542516","display_name":"Soon Jye Kho","orcid":"https://orcid.org/0000-0002-1210-9316"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Soon Jye Kho","raw_affiliation_strings":["Wright State University, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061516429","display_name":"Hima Bindu Yalamanchili","orcid":"https://orcid.org/0000-0003-2426-9496"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hima Bindu Yalamanchili","raw_affiliation_strings":["Wright State University, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021570308","display_name":"Michael L. Raymer","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael L. Raymer","raw_affiliation_strings":["Wright State University, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028772801","display_name":"Amit Sheth","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit P. Sheth","raw_affiliation_strings":["Wright State University, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059542516"],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":0.6736,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69289882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"128","issue":null,"first_page":"388","last_page":"393"},"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":0.9975000023841858,"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/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9818999767303467,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7260708808898926},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7201880216598511},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6329951286315918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5684829354286194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5300483703613281},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.48424479365348816},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.41538742184638977},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4114759564399719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3909221887588501},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3797902762889862},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3221580982208252},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2342950701713562}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7260708808898926},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7201880216598511},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6329951286315918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5684829354286194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5300483703613281},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.48424479365348816},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.41538742184638977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4114759564399719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3909221887588501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3797902762889862},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3221580982208252},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2342950701713562},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3107411.3107483","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3107411.3107483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","raw_type":"proceedings-article"},{"id":"pmh:oai:corescholar.libraries.wright.edu:knoesis-2515","is_oa":true,"landing_page_url":"https://corescholar.libraries.wright.edu/knoesis/1135","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kno.e.sis Publications","raw_type":"text"},{"id":"pmh:oai:works.bepress.com:amit_sheth-10078","is_oa":true,"landing_page_url":"https://works.bepress.com/amit_sheth/547","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Amit P. Sheth","raw_type":"text"},{"id":"pmh:oai:works.bepress.com:michael_raymer-10034","is_oa":false,"landing_page_url":"https://works.bepress.com/michael_raymer/101","pdf_url":null,"source":{"id":"https://openalex.org/S4306400146","display_name":"CORE Scholar (Wright State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19648265","host_organization_name":"Wright State University","host_organization_lineage":["https://openalex.org/I19648265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michael L. Raymer","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:corescholar.libraries.wright.edu:knoesis-2515","is_oa":true,"landing_page_url":"https://corescholar.libraries.wright.edu/knoesis/1135","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kno.e.sis Publications","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W42754495","https://openalex.org/W1447066968","https://openalex.org/W1505985683","https://openalex.org/W1965856472","https://openalex.org/W1977427440","https://openalex.org/W1991509879","https://openalex.org/W2048296798","https://openalex.org/W2058993911","https://openalex.org/W2059638643","https://openalex.org/W2081930221","https://openalex.org/W2089570507","https://openalex.org/W2092868756","https://openalex.org/W2099270006","https://openalex.org/W2099596714","https://openalex.org/W2104901100","https://openalex.org/W2115977657","https://openalex.org/W2120831232","https://openalex.org/W2122683221","https://openalex.org/W2134731454","https://openalex.org/W2142295792","https://openalex.org/W2146263873","https://openalex.org/W2147152072","https://openalex.org/W2354946348","https://openalex.org/W2401253355","https://openalex.org/W2522581443","https://openalex.org/W2607169835"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013","https://openalex.org/W4389543811"],"abstract_inverted_index":{"Understanding":[0],"the":[1,60,131,158,181],"role":[2],"of":[3,27,50,59,93,152,160,180,220],"differential":[4],"gene":[5,52,119,225],"expression":[6,53,226],"in":[7,86,91,113,133,203,228],"cancer":[8,94,100,103,229],"etiology":[9],"and":[10,29,55,70,78,95,101,118,196],"cellular":[11],"process":[12],"is":[13,123],"a":[14,21,126,140,177,185,215],"complex":[15],"problem":[16],"that":[17,164,198],"continues":[18],"to":[19,24,47,56,83,129,145,156,171],"pose":[20],"challenge":[22],"due":[23],"sheer":[25],"number":[26],"genes":[28,182,195],"inter-related":[30],"biological":[31],"processes":[32],"involved.":[33],"In":[34],"this":[35,161],"paper,":[36],"we":[37,81,138,175],"employ":[38],"an":[39,134],"unsupervised":[40,135],"topic":[41,187],"model,":[42],"Latent":[43],"Dirichlet":[44],"Allocation":[45],"(LDA)":[46],"mitigate":[48],"overfitting":[49],"high-dimensionality":[51],"data":[54,73,132,227],"facilitate":[57],"understanding":[58],"associated":[61],"pathways.":[62],"LDA":[63,85,122,165,213],"has":[64],"been":[65],"recently":[66],"applied":[67],"for":[68,76,218],"clustering":[69,87,127],"exploring":[71],"genomic":[72],"but":[74],"not":[75],"classification":[77,92,143,219],"prediction.":[79],"Here,":[80],"proposed":[82],"use":[84],"as":[88,90,125,214],"well":[89],"healthy":[96],"tissues":[97],"using":[98,184],"lung":[99],"breast":[102],"messenger":[104],"RNA":[105],"(mRNA)":[106],"sequencing":[107],"data.":[108],"We":[109],"describe":[110],"our":[111,210],"study":[112],"three":[114],"phases:":[115],"clustering,":[116],"classification,":[117],"interpretation.":[120],"First,":[121],"used":[124],"algorithm":[128],"group":[130],"manner.":[136],"Next":[137],"developed":[139],"novel":[141,186],"LDA-based":[142],"approach":[144,162,217],"classify":[146],"unknown":[147],"samples":[148,206],"based":[149,223],"on":[150,224],"similarity":[151],"co-expression":[153],"patterns.":[154],"Evaluation":[155],"assess":[157],"effectiveness":[159],"shows":[163],"can":[166],"achieve":[167],"high":[168],"accuracy":[169],"compared":[170],"alternative":[172],"approaches.":[173],"Lastly,":[174],"present":[176],"functional":[178],"analysis":[179,192],"identified":[183,193],"profile":[188],"matrix":[189],"formulation.":[190],"This":[191],"several":[194],"pathways":[197],"could":[199],"potentially":[200],"be":[201],"involved":[202],"differentiating":[204],"tumor":[205],"from":[207],"normal.":[208],"Overall,":[209],"results":[211],"project":[212],"promising":[216],"tissue":[221],"types":[222],"studies.":[230]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}