{"id":"https://openalex.org/W2078223593","doi":"https://doi.org/10.1145/1066677.1066725","title":"Tree-based clustering for gene expression data","display_name":"Tree-based clustering for gene expression data","publication_year":2005,"publication_date":"2005-03-13","ids":{"openalex":"https://openalex.org/W2078223593","doi":"https://doi.org/10.1145/1066677.1066725","mag":"2078223593"},"language":"en","primary_location":{"id":"doi:10.1145/1066677.1066725","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","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/A5090077844","display_name":"Baoying Wang","orcid":"https://orcid.org/0000-0002-0333-2532"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Baoying Wang","raw_affiliation_strings":["North Dakota State University, Fargo, ND"],"affiliations":[{"raw_affiliation_string":"North Dakota State University, Fargo, ND","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007656388","display_name":"William Perrizo","orcid":null},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Perrizo","raw_affiliation_strings":["North Dakota State University, Fargo, ND"],"affiliations":[{"raw_affiliation_string":"North Dakota State University, Fargo, ND","institution_ids":["https://openalex.org/I57328836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090077844"],"corresponding_institution_ids":["https://openalex.org/I57328836"],"apc_list":null,"apc_paid":null,"fwci":0.1231,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49324121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9983999729156494,"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":0.9983999729156494,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9782999753952026,"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":0.8524280786514282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375170946121216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6290556192398071},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5556502342224121},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5209475755691528},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5003983974456787},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47740331292152405},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.43136054277420044},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4251154661178589},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.40308672189712524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3970147967338562},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3585588037967682},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18653634190559387}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8524280786514282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375170946121216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6290556192398071},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5556502342224121},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5209475755691528},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5003983974456787},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47740331292152405},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.43136054277420044},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4251154661178589},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.40308672189712524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3970147967338562},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3585588037967682},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18653634190559387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1066677.1066725","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","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":4,"referenced_works":["https://openalex.org/W2095897464","https://openalex.org/W2135000328","https://openalex.org/W2139750713","https://openalex.org/W2611831635"],"related_works":["https://openalex.org/W2384052049","https://openalex.org/W2367205823","https://openalex.org/W2087424554","https://openalex.org/W2406185607","https://openalex.org/W4220814143","https://openalex.org/W2131625050","https://openalex.org/W1574003721","https://openalex.org/W2311450085","https://openalex.org/W1981213098","https://openalex.org/W2139280638"],"abstract_inverted_index":{"Data":[0],"clustering":[1,44],"methods":[2],"have":[3],"been":[4],"proven":[5],"to":[6],"be":[7],"a":[8],"successful":[9],"data":[10,18],"mining":[11],"technique":[12],"in":[13,33],"analysis":[14],"of":[15,23,51],"gene":[16,34,69],"expression":[17,35,70],"and":[19,28,55,65,78],"many":[20],"other":[21],"types":[22],"data.":[24],"However,":[25],"some":[26],"concerns":[27],"challenges":[29],"still":[30],"remain,":[31],"e.g.,":[32],"clustering.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"propose":[41],"an":[42],"efficient":[43,77],"method":[45],"using":[46],"attractor":[47],"trees.":[48],"The":[49],"combination":[50],"the":[52,56],"density-based":[53],"approach":[54,58,75],"similarity-based":[57],"considers":[59],"clusters":[60],"with":[61,80],"diverse":[62],"shapes,":[63],"densities,":[64],"sizes.":[66],"Experiments":[67],"on":[68],"datasets":[71],"demonstrate":[72],"that":[73],"our":[74],"is":[76],"scalable":[79],"competitive":[81],"accuracy.":[82]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}