{"id":"https://openalex.org/W2296063874","doi":"https://doi.org/10.1145/1014052.1014132","title":"Sleeved coclustering","display_name":"Sleeved coclustering","publication_year":2004,"publication_date":"2004-08-22","ids":{"openalex":"https://openalex.org/W2296063874","doi":"https://doi.org/10.1145/1014052.1014132","mag":"2296063874"},"language":"en","primary_location":{"id":"doi:10.1145/1014052.1014132","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5039842680","display_name":"Avraham A. Melkman","orcid":"https://orcid.org/0000-0002-6832-0102"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Avraham A. Melkman","raw_affiliation_strings":["Ben Gurion University, Beer Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben Gurion University, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058322395","display_name":"Eran Shaham","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eran Shaham","raw_affiliation_strings":["Ben Gurion University, Beer Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben Gurion University, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039842680"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":0.3618,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.59825033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"635","last_page":"640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9986000061035156,"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":0.9986000061035156,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9904000163078308,"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":0.9890000224113464,"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/gene","display_name":"Gene","score":0.6775211095809937},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6702068448066711},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5178244709968567},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5168750286102295},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4991123676300049},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.4936581552028656},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4933389723300934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49244341254234314},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.48026061058044434},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47600802779197693},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.45478925108909607},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.43421339988708496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40300413966178894},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.3799832761287689},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.37934044003486633},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3377349376678467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14407017827033997},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08776593208312988},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07972586154937744},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07864567637443542}],"concepts":[{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.6775211095809937},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6702068448066711},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5178244709968567},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5168750286102295},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4991123676300049},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.4936581552028656},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4933389723300934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49244341254234314},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.48026061058044434},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47600802779197693},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.45478925108909607},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.43421339988708496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40300413966178894},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.3799832761287689},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.37934044003486633},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3377349376678467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14407017827033997},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08776593208312988},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07972586154937744},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07864567637443542},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1014052.1014132","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1014052.1014132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.79.2211","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.2211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bgu.ac.il/~melkman/papers/sleeved.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W196542726","https://openalex.org/W1493217831","https://openalex.org/W1593486402","https://openalex.org/W1769049279","https://openalex.org/W1977496278","https://openalex.org/W1983524036","https://openalex.org/W1995433152","https://openalex.org/W2051797298","https://openalex.org/W2064787891","https://openalex.org/W2065811242","https://openalex.org/W2112210867","https://openalex.org/W2133576408","https://openalex.org/W2135187880","https://openalex.org/W2137167578","https://openalex.org/W2144792853","https://openalex.org/W2147246240","https://openalex.org/W2153229195","https://openalex.org/W4244268470","https://openalex.org/W4254311734","https://openalex.org/W4285719527","https://openalex.org/W6635743399","https://openalex.org/W6680568974"],"related_works":["https://openalex.org/W4281971614","https://openalex.org/W2390933768","https://openalex.org/W2467236363","https://openalex.org/W3175260668","https://openalex.org/W2953259538","https://openalex.org/W3122721839","https://openalex.org/W2184455175","https://openalex.org/W2292909562","https://openalex.org/W4388212631","https://openalex.org/W3007479582"],"abstract_inverted_index":{"A":[0],"coCluster":[1,125,167,217,227,270],"of":[2,16,22,27,34,41,49,57,62,68,76,82,90,99,112,120,135,148,174,194,215,249],"a":[3,10,14,20,74,80,124,127,165,181,202,209,241,247,256,269],"m":[4],"x":[5],"n":[6],"matrix":[7,51],"X":[8,52],"is":[9,33,71,142,155,180,196,228,272],"submatrix":[11],"determined":[12],"by":[13,200,208],"subset":[15,21,75,81,98],"the":[17,23,39,47,50,54,69,77,83,87,91,97,100,109,113,118,121,133,136,145,152,175,186,191,205,216,219,226,237,263,284],"rows":[18],"and":[19,79,144],"columns.":[24],"The":[25,213],"problem":[26],"finding":[28],"coClusters":[29,250],"with":[30,266,279],"specific":[31],"properties":[32],"interest,":[35],"in":[36,38,60,123,131,139,164,172,190,225,274],"particular,":[37],"analysis":[40,70],"microarray":[42],"experiments.":[43],"In":[44,157],"that":[45,86,262,283],"case":[46],"entries":[48],"are":[53],"expression":[55,88,110,170,192],"levels":[56,89,193],"$m$":[58],"genes":[59,93,122,162,195],"each":[61,173],"$n$":[63],"tissue":[64],"samples.":[65],"One":[66],"goal":[67],"to":[72,116,151,221,230],"extract":[73],"samples":[78],"genes,":[84],"such":[85],"chosen":[92],"behave":[94],"similarly":[95],"across":[96],"samples,":[101,177],"presumably":[102],"reflecting":[103],"an":[104],"underlying":[105],"regulatory":[106,137,153],"mechanism":[107,138,154],"governing":[108],"level":[111],"genes.We":[114],"propose":[115],"base":[117],"similarity":[119],"on":[126,185],"simple":[128],"biological":[129],"model,":[130,206],"which":[132,222,245,271],"strength":[134,147],"sample":[140],"j":[141],"Hj,":[143],"response":[146],"gene":[149],"i":[150],"Gi.":[156],"other":[158],"words,":[159],"every":[160],"two":[161,187],"participating":[163,176],"good":[166],"should":[168],"have":[169],"values":[171],"whose":[178,251],"ratio":[179],"constant":[182],"depending":[183],"only":[184],"genes.":[188],"Noise":[189],"taken":[197],"into":[198],"account":[199],"allowing":[201],"deviation":[203],"from":[204,233],"measured":[207],"relative":[210],"error":[211],"criterion.":[212],"sleeve-width":[214],"reflects":[218],"extent":[220],"entry":[223],"i,j":[224],"allowed":[229],"deviate,":[231],"relatively,":[232],"being":[234],"expressed":[235],"as":[236],"product":[238],"GiHj.We":[239],"present":[240],"polynomial-time":[242],"Monte-Carlo":[243],"algorithm":[244,285],"outputs":[246],"list":[248,264],"sleeve-widths":[252],"do":[253],"not":[254],"exceed":[255],"prespecified":[257],"value.":[258],"Moreover,":[259],"we":[260],"prove":[261],"includes,":[265],"fixed":[267],"probability,":[268],"near-optimal":[273],"its":[275],"dimensions.":[276],"Extensive":[277],"experimentation":[278],"synthetic":[280],"data":[281],"shows":[282],"performs":[286],"well.":[287]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
