{"id":"https://openalex.org/W2957585155","doi":"https://doi.org/10.1145/3319619.3321916","title":"Mining a massive RNA-seq dataset with biclustering","display_name":"Mining a massive RNA-seq dataset with biclustering","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2957585155","doi":"https://doi.org/10.1145/3319619.3321916","mag":"2957585155"},"language":"en","primary_location":{"id":"doi:10.1145/3319619.3321916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3321916","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5009262032","display_name":"Patryk Orzechowski","orcid":"https://orcid.org/0000-0003-3578-9809"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Patryk Orzechowski","raw_affiliation_strings":["University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060934873","display_name":"ason H. Moore","orcid":null},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ason H. Moore","raw_affiliation_strings":["University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009262032"],"corresponding_institution_ids":["https://openalex.org/I36788626"],"apc_list":null,"apc_paid":null,"fwci":0.7448,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68829664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"304","last_page":"305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9850999712944031,"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":0.9647811651229858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107753753662109},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6931419968605042},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6883301734924316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.575606644153595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3825125992298126},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.11183375120162964},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.06230011582374573}],"concepts":[{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.9647811651229858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107753753662109},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6931419968605042},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6883301734924316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.575606644153595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3825125992298126},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.11183375120162964},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.06230011582374573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319619.3321916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3321916","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G770447875","display_name":null,"funder_award_id":"LM010098, LM012601, AI116794.","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320326815","display_name":"Infrastruktura PL-Grid","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1593486402","https://openalex.org/W2008459449","https://openalex.org/W2114813480","https://openalex.org/W2142838865","https://openalex.org/W2150930396","https://openalex.org/W2478358463","https://openalex.org/W2529517309","https://openalex.org/W2766992598","https://openalex.org/W2811653470","https://openalex.org/W4362725014","https://openalex.org/W6635743399"],"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/W4226363062","https://openalex.org/W2611629964"],"abstract_inverted_index":{"Finding":[0],"meaningful":[1],"structures":[2],"in":[3,74],"big":[4,10],"data":[5,53],"is":[6],"challenging,":[7],"especially":[8],"within":[9],"and":[11,54],"noisy":[12],"data.":[13],"In":[14],"this":[15],"short":[16],"paper,":[17],"we":[18,67],"present":[19],"the":[20,23,56,59,69],"results":[21,57],"of":[22,25,71],"application":[24],"6":[26],"different":[27],"biclustering":[28,47,75],"methods":[29,48],"to":[30,58],"a":[31,62],"massive":[32],"human":[33],"RNA-seq":[34],"dataset":[35],"with":[36],"over":[37,41],"35k":[38],"genes":[39],"from":[40],"125k":[42],"samples.":[43],"We":[44],"assess":[45,68],"which":[46],"can":[49],"handle":[50],"that":[51],"large":[52],"compare":[55],"mini-batch":[60],"k-means,":[61],"popular":[63],"clustering":[64],"approach.":[65],"Finally,":[66],"importance":[70],"evolutionary-based":[72],"approaches":[73],"'big":[76],"data'.":[77]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}