{"id":"https://openalex.org/W4251012820","doi":"https://doi.org/10.1109/bibe.2004.1317352","title":"Identifying projected clusters from gene expression profiles","display_name":"Identifying projected clusters from gene expression profiles","publication_year":2004,"publication_date":"2004-11-30","ids":{"openalex":"https://openalex.org/W4251012820","doi":"https://doi.org/10.1109/bibe.2004.1317352"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2004.1317352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2004.1317352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering","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/A5066417693","display_name":"Kevin Y. Yip","orcid":"https://orcid.org/0000-0001-5516-9944"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"K.Y. Yip","raw_affiliation_strings":["University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060312341","display_name":"D.W. Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"D.W. Cheung","raw_affiliation_strings":["University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"M.K. Ng","raw_affiliation_strings":["University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110209950","display_name":"Kei\u2010Hoi Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kei-Hoi Cheung","raw_affiliation_strings":["Yale University, USA"],"affiliations":[{"raw_affiliation_string":"Yale University, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066417693"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33701553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"259","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9890999794006348,"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/T10057","display_name":"Face and Expression Recognition","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.772216260433197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291715145111084},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6669739484786987},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.646119236946106},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6199284195899963},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.527023434638977},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5084642171859741},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.48384371399879456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3280903398990631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31223440170288086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15019962191581726}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.772216260433197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291715145111084},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6669739484786987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.646119236946106},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6199284195899963},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.527023434638977},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5084642171859741},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.48384371399879456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3280903398990631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31223440170288086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15019962191581726},{"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/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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibe.2004.1317352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2004.1317352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/46597","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/46597","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3844385788","display_name":"Exploring Approaches for Microarray Databases That Enable Flexible Design and Integrative Analysis","funder_award_id":"0135442","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337348","display_name":"National Human Genome Research Institute","ror":"https://ror.org/00baak391"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1493217831","https://openalex.org/W1575476631","https://openalex.org/W1593486402","https://openalex.org/W1977496278","https://openalex.org/W2023971898","https://openalex.org/W2087684630","https://openalex.org/W2088851040","https://openalex.org/W2109363337","https://openalex.org/W2109970232","https://openalex.org/W2130158951","https://openalex.org/W2135000328","https://openalex.org/W2137167578","https://openalex.org/W2137540340","https://openalex.org/W2137683543","https://openalex.org/W2142460132","https://openalex.org/W2147246240","https://openalex.org/W2150926065","https://openalex.org/W2165298438","https://openalex.org/W2168811230","https://openalex.org/W2330457397","https://openalex.org/W2590923501","https://openalex.org/W2951154109","https://openalex.org/W4234409091","https://openalex.org/W4244268470","https://openalex.org/W4254311734","https://openalex.org/W6629329278","https://openalex.org/W6634394891","https://openalex.org/W6635743399","https://openalex.org/W6763716565"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2949110394","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W2071055957","https://openalex.org/W4211228991","https://openalex.org/W2353790329","https://openalex.org/W3103861421","https://openalex.org/W2279743781","https://openalex.org/W2067752723"],"abstract_inverted_index":{"In":[0,30,65],"microarray":[1,115],"gene":[2],"expression":[3],"data,":[4],"clusters":[5,112],"may":[6,24],"hide":[7],"in":[8,19],"subspaces.":[9],"Traditional":[10],"clustering":[11],"algorithms":[12,36],"that":[13,71,102],"make":[14],"use":[15],"of":[16,35,44,49,107],"similarity":[17],"measurements":[18],"the":[20,28,103],"full":[21],"input":[22,91],"space":[23],"fail":[25],"to":[26,40,63,90],"detect":[27],"clusters.":[29],"recent":[31],"years":[32],"a":[33,68,81],"number":[34],"have":[37],"been":[38],"proposed":[39],"identify":[41],"this":[42,66],"kind":[43],"projected":[45,111],"clusters,":[46],"but":[47],"many":[48],"them":[50],"rely":[51],"on":[52,84],"some":[53,92,109],"critical":[54],"parameters":[55,86],"whose":[56],"proper":[57],"values":[58],"are":[59],"hard":[60],"for":[61],"users":[62,89],"determine.":[64],"paper":[67],"new":[69],"algorithm":[70,104],"dynamically":[72],"adjusts":[73],"its":[74],"internal":[75],"thresholds":[76],"is":[77,105],"proposed.":[78],"It":[79],"has":[80],"low":[82],"dependency":[83],"user":[85],"while":[87],"allowing":[88],"domain":[93],"knowledge":[94],"should":[95],"they":[96],"be":[97],"available.":[98],"Experimental":[99],"results":[100],"show":[101],"capable":[106],"identifying":[108],"interesting":[110],"from":[113],"real":[114],"data.":[116]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}