{"id":"https://openalex.org/W3008448718","doi":"https://doi.org/10.1109/ssci44817.2019.9002933","title":"Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures","display_name":"Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008448718","doi":"https://doi.org/10.1109/ssci44817.2019.9002933","mag":"3008448718"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9002933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5065962325","display_name":"Marian B. Gorza\u0142czany","orcid":"https://orcid.org/0000-0003-1174-3953"},"institutions":[{"id":"https://openalex.org/I169109204","display_name":"Kielce University of Technology","ror":"https://ror.org/01zywja13","country_code":"PL","type":"education","lineage":["https://openalex.org/I169109204"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marian B. Gorzalczany","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Kielce University of Technology, Kielce, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Kielce University of Technology, Kielce, Poland","institution_ids":["https://openalex.org/I169109204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002623918","display_name":"Jakub Piekoszewski","orcid":"https://orcid.org/0000-0002-6323-9479"},"institutions":[{"id":"https://openalex.org/I169109204","display_name":"Kielce University of Technology","ror":"https://ror.org/01zywja13","country_code":"PL","type":"education","lineage":["https://openalex.org/I169109204"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jakub Piekoszewski","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Kielce University of Technology, Kielce, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Kielce University of Technology, Kielce, Poland","institution_ids":["https://openalex.org/I169109204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074134615","display_name":"Filip Rudzi\u0144ski","orcid":"https://orcid.org/0000-0003-3719-6572"},"institutions":[{"id":"https://openalex.org/I169109204","display_name":"Kielce University of Technology","ror":"https://ror.org/01zywja13","country_code":"PL","type":"education","lineage":["https://openalex.org/I169109204"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Filip Rudzinski","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Kielce University of Technology, Kielce, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Kielce University of Technology, Kielce, Poland","institution_ids":["https://openalex.org/I169109204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169109204"],"apc_list":null,"apc_paid":null,"fwci":0.8367,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8078356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"534","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9990000128746033,"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":0.9990000128746033,"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":0.988099992275238,"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/T10320","display_name":"Neural Networks and Applications","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8883242607116699},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6932979822158813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.641229510307312},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6278406977653503},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5646011829376221},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5598141551017761},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.5458099246025085},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.517961859703064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3723228871822357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33377760648727417},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3218647241592407},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.31583571434020996},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1920517086982727},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.14502263069152832},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10037818551063538}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8883242607116699},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6932979822158813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641229510307312},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6278406977653503},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5646011829376221},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5598141551017761},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.5458099246025085},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.517961859703064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3723228871822357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33377760648727417},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3218647241592407},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.31583571434020996},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1920517086982727},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.14502263069152832},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10037818551063538},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci44817.2019.9002933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W153995565","https://openalex.org/W156010046","https://openalex.org/W431560030","https://openalex.org/W647878487","https://openalex.org/W1481277647","https://openalex.org/W1559928038","https://openalex.org/W1603207581","https://openalex.org/W1967550647","https://openalex.org/W2047057728","https://openalex.org/W2087684630","https://openalex.org/W2103540631","https://openalex.org/W2109363337","https://openalex.org/W2120975671","https://openalex.org/W2123927174","https://openalex.org/W2127218421","https://openalex.org/W2131618573","https://openalex.org/W2135637472","https://openalex.org/W2141012957","https://openalex.org/W2157709461","https://openalex.org/W2164883038","https://openalex.org/W2556301711","https://openalex.org/W2609724159","https://openalex.org/W2623143961","https://openalex.org/W2887550561","https://openalex.org/W4245176872","https://openalex.org/W4246047669","https://openalex.org/W4285719527","https://openalex.org/W6678914141","https://openalex.org/W6736730571"],"related_works":["https://openalex.org/W4385270139","https://openalex.org/W3114272811","https://openalex.org/W3080491161","https://openalex.org/W2111119584","https://openalex.org/W3186815950","https://openalex.org/W2590034888","https://openalex.org/W4292621762","https://openalex.org/W3098102082","https://openalex.org/W2120152091","https://openalex.org/W2110877857"],"abstract_inverted_index":{"The":[0,139,153],"objective":[1],"and":[2,74,165],"contribution":[3],"of":[4,27,46,95,111,117,120,146,161,168,174],"this":[5],"work":[6],"is":[7,89],"to":[8,23,83,148],"apply":[9],"our":[10,126,162],"data":[11,32,73,101,177],"clustering":[12,26,39,94,119,163],"method":[13,127],"using":[14],"generalized":[15],"SOMs":[16],"(self-organizing":[17],"maps)":[18],"with":[19,171],"splitting-merging":[20],"evolving":[21],"structures":[22],"a":[24,38,43,87,175],"multi-step":[25],"colon":[28],"cancer":[29],"gene":[30,112],"expression":[31],"coming":[33,97],"from":[34,55,98,122],"microarray":[35,100,124],"experiments.":[36],"Such":[37,86],"aims":[40],"at":[41],"uncovering":[42],"small":[44],"set":[45],"informative":[47],"genes":[48,96],"(that":[49],"is,":[50,68],"the":[51,80,93,99,109,115,118,123,129,133,137,144,172],"disease":[52],"relevant":[53],"genes)":[54],"their":[56],"overall":[57],"huge":[58],"number.":[59],"Our":[60],"approach":[61],"operates":[62],"in":[63,92,107,136,151],"an":[64,159,166],"unsupervised":[65],"way,":[66],"that":[67],"(i)":[69],"it":[70,76],"uses":[71],"unlabelled":[72],"(ii)":[75],"does":[77],"not":[78,105],"need":[79],"cluster":[81],"number":[82,110,145],"be":[84,149],"predefined.":[85],"property":[88],"very":[90],"important":[91],"because":[102],"we":[103],"do":[104],"know":[106],"advance":[108],"clusters.":[113],"In":[114],"case":[116],"samples":[121],"data,":[125],"provides":[128],"results":[130,134],"which":[131],"outperform":[132],"presented":[135],"literature.":[138],"alternative":[140],"techniques":[141],"usually":[142],"require":[143],"clusters":[147],"determined":[150],"advance.":[152],"aforementioned":[154],"experiments":[155],"are":[156],"preceded":[157],"by":[158],"outline":[160],"technique":[164],"illustration":[167],"its":[169],"operation":[170],"use":[173],"benchmark":[176],"set.":[178]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}