{"id":"https://openalex.org/W2119531572","doi":"https://doi.org/10.1109/cibcb.2008.4675767","title":"Very large scale ReliefF for genome-wide association analysis","display_name":"Very large scale ReliefF for genome-wide association analysis","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2119531572","doi":"https://doi.org/10.1109/cibcb.2008.4675767","mag":"2119531572"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb.2008.4675767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2008.4675767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","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/A5041730016","display_name":"Margaret J. Eppstein","orcid":"https://orcid.org/0000-0002-7775-1430"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Margaret J. Eppstein","raw_affiliation_strings":["Computer Science Department and the Complex Systems Center, University of Vermont, Burlington, VT, USA","Computer Science Department, University of Vermont, Burlington, VT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department and the Complex Systems Center, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Computer Science Department, University of Vermont, Burlington, VT","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046842447","display_name":"Paul Haake","orcid":null},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Haake","raw_affiliation_strings":["Computer Science Department and the Complex Systems Center, University of Vermont, Burlington, VT, USA","Computer Science Department, University of Vermont, Burlington, VT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department and the Complex Systems Center, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Computer Science Department, University of Vermont, Burlington, VT","institution_ids":["https://openalex.org/I111236770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.16355073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9980999827384949,"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":0.9973000288009644,"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/computer-science","display_name":"Computer science","score":0.6060067415237427},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.5206753015518188},{"id":"https://openalex.org/keywords/snp","display_name":"SNP","score":0.4339718818664551},{"id":"https://openalex.org/keywords/genome-wide-association-study","display_name":"Genome-wide association study","score":0.4165991544723511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3840179741382599},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3348039388656616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3330296277999878},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18431800603866577},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.13921627402305603},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.06751644611358643}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6060067415237427},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.5206753015518188},{"id":"https://openalex.org/C139275648","wikidata":"https://www.wikidata.org/wiki/Q17134011","display_name":"SNP","level":5,"score":0.4339718818664551},{"id":"https://openalex.org/C106208931","wikidata":"https://www.wikidata.org/wiki/Q1098876","display_name":"Genome-wide association study","level":5,"score":0.4165991544723511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3840179741382599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3348039388656616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3330296277999878},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18431800603866577},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.13921627402305603},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.06751644611358643},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb.2008.4675767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2008.4675767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5099999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310400","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W89836143","https://openalex.org/W1500895378","https://openalex.org/W1532551225","https://openalex.org/W1537249003","https://openalex.org/W1594856149","https://openalex.org/W1838763289","https://openalex.org/W1966315117","https://openalex.org/W1966360257","https://openalex.org/W1990139289","https://openalex.org/W1999790144","https://openalex.org/W2014024561","https://openalex.org/W2018045523","https://openalex.org/W2019024533","https://openalex.org/W2020215885","https://openalex.org/W2030700548","https://openalex.org/W2058401000","https://openalex.org/W2058812329","https://openalex.org/W2061008984","https://openalex.org/W2066669827","https://openalex.org/W2076220518","https://openalex.org/W2083413750","https://openalex.org/W2100317815","https://openalex.org/W2102109283","https://openalex.org/W2106233199","https://openalex.org/W2107889007","https://openalex.org/W2111904939","https://openalex.org/W2125055259","https://openalex.org/W2125779167","https://openalex.org/W2127230663","https://openalex.org/W2154572047","https://openalex.org/W2161974563","https://openalex.org/W2165460636","https://openalex.org/W2168909179","https://openalex.org/W2172182886","https://openalex.org/W3025756148","https://openalex.org/W3143244742","https://openalex.org/W6603738398","https://openalex.org/W6632197327"],"related_works":["https://openalex.org/W1997352593","https://openalex.org/W2143489661","https://openalex.org/W4281711902","https://openalex.org/W3206555169","https://openalex.org/W3016573916","https://openalex.org/W2070581548","https://openalex.org/W3157359833","https://openalex.org/W3024317680","https://openalex.org/W1511048503","https://openalex.org/W2571299013"],"abstract_inverted_index":{"Most":[0],"common":[1],"diseases":[2],"are":[3,36],"the":[4,64,77,86,120,136],"result":[5],"of":[6,27,45,47,71,79,143,149,154,179,185],"complex":[7],"nonlinear":[8,164],"interactions":[9],"between":[10],"multiple":[11],"genetic":[12],"and":[13,115,147],"environmental":[14],"components.":[15],"There":[16],"is":[17,132,174],"thus":[18],"a":[19,98,141,177],"pressing":[20],"need":[21],"for":[22,89,134,163],"new":[23],"computational":[24,180],"methods":[25],"capable":[26],"detecting":[28],"nonlinearly":[29],"interacting":[30],"single":[31],"nucleotide":[32],"polymorphism":[33],"(SNPs)":[34],"that":[35],"associated":[37],"with":[38,156],"disease,":[39],"from":[40,63],"amidst":[41],"up":[42,72,84,186],"to":[43,73,85,112,187],"hundreds":[44],"thousands":[46],"candidate":[48],"SNPs.":[49,75,189],"Recently,":[50],"some":[51],"progress":[52],"has":[53],"been":[54],"made":[55],"using":[56,176],"feature":[57,165],"selection":[58],"algorithms":[59],"based":[60],"on":[61,69,182],"weights":[62,159],"ReliefF":[65,80,111,122],"data":[66],"mining":[67],"algorithm":[68],"sets":[70],"1500":[74],"However,":[76],"accuracy":[78],"does":[81],"not":[82],"scale":[83,169],"sizes":[87],"needed":[88],"truly":[90],"large":[91],"genome-scale":[92],"SNP":[93,113,119,170],"association":[94],"studies.":[95],"We":[96],"propose":[97],"population-based":[99],"variant":[100],"dubbed":[101],"VLSReliefF,":[102],"which":[103],"mitigates":[104],"this":[105],"performance":[106],"drop":[107],"by":[108],"stochastically":[109],"applying":[110],"subsets,":[114],"then":[116],"assigning":[117],"each":[118],"maximum":[121],"weight":[123],"it":[124],"achieved":[125],"in":[126,167],"any":[127],"subset.":[128],"A":[129],"heuristic":[130],"method":[131,173],"proposed":[133],"determining":[135],"optimal":[137],"subset":[138],"size":[139],"as":[140],"function":[142],"heritability,":[144],"sample":[145],"size,":[146],"order":[148],"interactions.":[150],"Aggressive":[151],"iterative":[152],"pruning":[153],"SNPs":[155],"low":[157],"VLSReliefF":[158],"can":[160],"be":[161],"used":[162],"identification":[166],"genome":[168],"sets.":[171],"The":[172],"validated":[175],"variety":[178],"experiments":[181],"synthetic":[183],"datasets":[184],"100,000":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}