{"id":"https://openalex.org/W2343938190","doi":"https://doi.org/10.1109/tcbb.2016.2515582","title":"A New Approach for Feature Selection from Microarray Data Based on Mutual Information","display_name":"A New Approach for Feature Selection from Microarray Data Based on Mutual Information","publication_year":2016,"publication_date":"2016-01-07","ids":{"openalex":"https://openalex.org/W2343938190","doi":"https://doi.org/10.1109/tcbb.2016.2515582","mag":"2343938190","pmid":"https://pubmed.ncbi.nlm.nih.gov/26761857"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2016.2515582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2016.2515582","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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/ACM Transactions on Computational Biology and Bioinformatics","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/A5050725783","display_name":"Jian Tang","orcid":"https://orcid.org/0000-0001-9658-209X"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jian Tang","raw_affiliation_strings":["Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada","institution_ids":["https://openalex.org/I130438778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017862559","display_name":"Shuigeng Zhou","orcid":"https://orcid.org/0000-0002-1949-2768"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuigeng Zhou","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing and the School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing and the School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050725783"],"corresponding_institution_ids":["https://openalex.org/I130438778"],"apc_list":null,"apc_paid":null,"fwci":2.3342,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.88312213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"6","first_page":"1004","last_page":"1015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.9922999739646912,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9884999990463257,"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/feature-selection","display_name":"Feature selection","score":0.7682788372039795},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.7414541244506836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6747260689735413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6095293760299683},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5860012173652649},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5551052689552307},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5130180716514587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4947154223918915},{"id":"https://openalex.org/keywords/interaction-information","display_name":"Interaction information","score":0.4631606340408325},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.44875630736351013},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42092522978782654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3611229360103607},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14632973074913025}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7682788372039795},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.7414541244506836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747260689735413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6095293760299683},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5860012173652649},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5551052689552307},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5130180716514587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4947154223918915},{"id":"https://openalex.org/C38764148","wikidata":"https://www.wikidata.org/wiki/Q17098245","display_name":"Interaction information","level":2,"score":0.4631606340408325},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.44875630736351013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42092522978782654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3611229360103607},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14632973074913025},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D040081","descriptor_name":"Protein Array Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040081","descriptor_name":"Protein Array Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040081","descriptor_name":"Protein Array Analysis","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},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2016.2515582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2016.2515582","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:26761857","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26761857","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/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G5296514049","display_name":null,"funder_award_id":"61272380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W187357405","https://openalex.org/W298212978","https://openalex.org/W1500895378","https://openalex.org/W1516560083","https://openalex.org/W1560107318","https://openalex.org/W1570448133","https://openalex.org/W1580817707","https://openalex.org/W1599585030","https://openalex.org/W1849729440","https://openalex.org/W1964042173","https://openalex.org/W1970156673","https://openalex.org/W1983575673","https://openalex.org/W1993628165","https://openalex.org/W2015932775","https://openalex.org/W2016090861","https://openalex.org/W2017337590","https://openalex.org/W2022597380","https://openalex.org/W2039537889","https://openalex.org/W2040884411","https://openalex.org/W2087684630","https://openalex.org/W2109363337","https://openalex.org/W2110655391","https://openalex.org/W2119782683","https://openalex.org/W2122649297","https://openalex.org/W2133956794","https://openalex.org/W2149454242","https://openalex.org/W2149706766","https://openalex.org/W2149772057","https://openalex.org/W2153678774","https://openalex.org/W2154053567","https://openalex.org/W2156504490","https://openalex.org/W2156571267","https://openalex.org/W2157875785","https://openalex.org/W2169268001","https://openalex.org/W2478708596","https://openalex.org/W2611104316","https://openalex.org/W2796837256","https://openalex.org/W2966207845","https://openalex.org/W2997674406","https://openalex.org/W4236137412","https://openalex.org/W6607623206","https://openalex.org/W6633497745","https://openalex.org/W6634094483","https://openalex.org/W6638875480","https://openalex.org/W6682496738","https://openalex.org/W6682686508","https://openalex.org/W6682904970"],"related_works":["https://openalex.org/W2145188897","https://openalex.org/W2053515329","https://openalex.org/W2386078281","https://openalex.org/W2533731304","https://openalex.org/W2997083166","https://openalex.org/W3037363193","https://openalex.org/W3111660818","https://openalex.org/W2086424613","https://openalex.org/W3174433205","https://openalex.org/W4287553507"],"abstract_inverted_index":{"Mutual":[0],"information":[1,89],"(MI)":[2],"is":[3,31,39,95,126,149],"a":[4,42,110,131,177],"powerful":[5],"concept":[6],"for":[7,14,73,116,156],"correlation-centric":[8],"applications.":[9],"It":[10],"has":[11],"been":[12],"used":[13],"feature":[15,113,133,150,157],"selection":[16,114],"from":[17,160,168],"microarray":[18,49,68,117],"gene":[19],"expression":[20,75],"data":[21],"in":[22,67,105],"many":[23,34],"works.":[24],"One":[25],"of":[26,29,62,77,185,197],"the":[27,59,70,74,143,147,182,186,194,201],"merits":[28],"MI":[30],"that,":[32],"unlike":[33],"other":[35,148],"heuristic":[36],"methods,":[37],"it":[38,52],"based":[40],"on":[41,122],"mature":[43],"theoretic":[44],"foundation.":[45],"When":[46],"applied":[47],"to":[48,58,134,180,192],"data,":[50,69],"however,":[51],"faces":[53],"some":[54,78],"challenges.":[55],"First,":[56],"due":[57],"large":[60],"number":[61],"features":[63],"(i.e.,":[64],"genes)":[65],"present":[66],"true":[71],"distributions":[72],"values":[76],"genes":[79],"may":[80],"be":[81],"distorted":[82],"by":[83],"noise.":[84],"Second,":[85],"evaluating":[86],"inter-group":[87],"mutual":[88],"requires":[90,130],"estimating":[91],"multi-variate":[92],"distributions,":[93],"which":[94,129,153],"quite":[96],"difficult":[97],"if":[98],"not":[99],"impossible.":[100],"To":[101],"address":[102],"these":[103],"problems,":[104],"this":[106],"paper,":[107],"we":[108],"propose":[109],"new":[111],"MI-based":[112],"approach":[115,120,167,199],"data.":[118],"Our":[119],"relies":[121],"two":[123],"strategies:":[124],"one":[125],"relevance":[127,138],"boosting,":[128],"desirable":[132],"show":[135,181,193],"substantially":[136],"additional":[137],"with":[139],"class":[140],"labeling":[141],"beyond":[142],"already":[144],"selected":[145],"features,":[146],"interaction":[151,158],"enhancing,":[152],"probabilistically":[154],"compensates":[155],"missing":[159],"simple":[161],"aggregation-based":[162],"evaluation.":[163],"We":[164,175],"justify":[165],"our":[166,198],"both":[169],"theoretical":[170],"perspective":[171],"and":[172,189],"experimental":[173],"results.":[174],"use":[176],"synthetic":[178],"dataset":[179],"statistical":[183],"significance":[184],"proposed":[187],"strategies,":[188],"real-life":[190],"datasets":[191],"improved":[195],"performance":[196],"over":[200],"existing":[202],"methods.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}