{"id":"https://openalex.org/W2122810184","doi":"https://doi.org/10.1109/tbme.2010.2047724","title":"Incremental Fuzzy Mining of Gene Expression Data for Gene Function Prediction","display_name":"Incremental Fuzzy Mining of Gene Expression Data for Gene Function Prediction","publication_year":2010,"publication_date":"2010-04-16","ids":{"openalex":"https://openalex.org/W2122810184","doi":"https://doi.org/10.1109/tbme.2010.2047724","mag":"2122810184","pmid":"https://pubmed.ncbi.nlm.nih.gov/20403777"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2010.2047724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2010.2047724","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5057211528","display_name":"P C H","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"P C H Ma","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China. cschma@comp.polyu.edu.hk","Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China. cschma@comp.polyu.edu.hk","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107049960","display_name":"Keith C. C. Chan","orcid":"https://orcid.org/0000-0001-7962-6564"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"K C C Chan","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.8055,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.72036372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"58","issue":"5","first_page":"1246","last_page":"1252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9937999844551086,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9575999975204468,"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/data-mining","display_name":"Data mining","score":0.7070498466491699},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6964761018753052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6508663296699524},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5138161778450012},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5090946555137634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4895833432674408},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.48848235607147217},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4506233334541321},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44679147005081177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4263388514518738},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42108309268951416},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11460313200950623}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7070498466491699},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6964761018753052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508663296699524},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5138161778450012},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5090946555137634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4895833432674408},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.48848235607147217},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4506233334541321},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44679147005081177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4263388514518738},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42108309268951416},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11460313200950623},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005347","descriptor_name":"Fibroblasts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005347","descriptor_name":"Fibroblasts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005347","descriptor_name":"Fibroblasts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2010.2047724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2010.2047724","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:20403777","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20403777","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/28585","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/28585","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W179611734","https://openalex.org/W201726549","https://openalex.org/W407958326","https://openalex.org/W598396932","https://openalex.org/W1504510381","https://openalex.org/W1528620860","https://openalex.org/W1542652324","https://openalex.org/W1563088657","https://openalex.org/W1564049492","https://openalex.org/W1566211337","https://openalex.org/W1893505266","https://openalex.org/W1970156673","https://openalex.org/W1979711990","https://openalex.org/W1988122146","https://openalex.org/W1992242907","https://openalex.org/W2009690650","https://openalex.org/W2040814250","https://openalex.org/W2055867223","https://openalex.org/W2108300872","https://openalex.org/W2109970232","https://openalex.org/W2130494035","https://openalex.org/W2135000328","https://openalex.org/W2135187880","https://openalex.org/W2136061550","https://openalex.org/W2137786672","https://openalex.org/W2140190241","https://openalex.org/W2140863273","https://openalex.org/W2143255910","https://openalex.org/W2148603752","https://openalex.org/W2149097927","https://openalex.org/W2150926065","https://openalex.org/W2156246479","https://openalex.org/W2162038040","https://openalex.org/W2162165991","https://openalex.org/W2162972849","https://openalex.org/W2170040895","https://openalex.org/W2325276118","https://openalex.org/W2544883878","https://openalex.org/W2912565176","https://openalex.org/W2998778915","https://openalex.org/W4205465882","https://openalex.org/W4211007335","https://openalex.org/W4230450987","https://openalex.org/W4236956086","https://openalex.org/W4247420482","https://openalex.org/W4254721730","https://openalex.org/W4285719527","https://openalex.org/W6633996426"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4312412183"],"abstract_inverted_index":{"Due":[0],"to":[1,45,89,129,131,171],"the":[2,5,28,97,173,195,209,214],"complexity":[3],"of":[4,30,140],"underlying":[6],"biological":[7],"processes,":[8],"gene":[9,34,99,110,125,246],"expression":[10,60,77,100,226],"data":[11,32,78,190,207],"obtained":[12],"from":[13],"DNA":[14],"microarray":[15],"technologies":[16],"are":[17],"typically":[18],"noisy":[19],"and":[20,25,113,152,155,231],"have":[21],"very":[22,37],"high":[23],"dimensionality":[24],"these":[26,41,104,114],"make":[27,108],"mining":[29,50,55,191],"such":[31,65,120],"for":[33,79,177,211,228,244],"function":[35,111,143,247],"prediction":[36,144,179],"difficult.":[38],"To":[39],"tackle":[40],"difficulties,":[42],"we":[43],"propose":[44],"use":[46],"an":[47,188],"incremental":[48,53,189],"fuzzy":[49,54,87],"technique":[51,164,192],"called":[52],"(IFM).":[56],"By":[57],"transforming":[58],"quantitative":[59],"values":[61],"into":[62],"linguistic":[63,98],"terms,":[64],"as":[66,150,161],"highly":[67],"or":[68,165],"lowly":[69],"expressed,":[70],"IFM":[71,106,156,181,220],"can":[72,107,116,126,146,157,198,239],"effectively":[73,240],"capture":[74],"heterogeneity":[75],"in":[76,119],"pattern":[80],"discovery.":[81],"It":[82],"does":[83],"so":[84,193],"using":[85,213],"a":[86,121,162],"measure":[88],"determine":[90],"if":[91],"interesting":[92],"association":[93],"patterns":[94,197,243],"exist":[95],"between":[96],"levels.":[101],"Based":[102],"on":[103,204],"patterns,":[105],"accurate":[109,245],"predictions":[112,115],"be":[117,127,147,158,199],"made":[118],"way":[122],"that":[123,194,237],"each":[124],"allowed":[128],"belong":[130],"more":[132],"than":[133],"one":[134],"functional":[135],"class":[136],"with":[137,167,224],"different":[138],"degrees":[139],"membership.":[141],"Gene":[142],"problem":[145],"formulated":[148],"both":[149,229],"classification":[151,163,230],"clustering":[153,169,232],"problems,":[154],"used":[159],"either":[160],"together":[166],"existing":[168],"algorithms":[170],"improve":[172],"cluster":[174],"groupings":[175],"discovered":[176,196],"greater":[178],"accuracies.":[180],"is":[182],"characterized":[183],"also":[184],"by":[185],"its":[186],"being":[187],"continually":[200],"refined":[201],"based":[202],"only":[203],"newly":[205],"collected":[206],"without":[208],"need":[210],"retraining":[212],"whole":[215],"dataset.":[216],"For":[217],"performance":[218],"evaluation,":[219],"has":[221],"been":[222],"tested":[223],"real":[225],"datasets":[227],"tasks.":[233],"Experimental":[234],"results":[235],"show":[236],"it":[238],"uncover":[241],"hidden":[242],"predictions.":[248]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
