{"id":"https://openalex.org/W1966025499","doi":"https://doi.org/10.1145/1569901.1570160","title":"Environmental noise improves epistasis models of genetic data discovered using a computational evolution system","display_name":"Environmental noise improves epistasis models of genetic data discovered using a computational evolution system","publication_year":2009,"publication_date":"2009-07-08","ids":{"openalex":"https://openalex.org/W1966025499","doi":"https://doi.org/10.1145/1569901.1570160","mag":"1966025499"},"language":"en","primary_location":{"id":"doi:10.1145/1569901.1570160","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1570160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference on Genetic and evolutionary computation","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/A5050692257","display_name":"Casey S. Greene","orcid":"https://orcid.org/0000-0001-8713-9213"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Casey S. Greene","raw_affiliation_strings":["Dartmouth Medical School, Lebanon, NH, USA","Dartmouth Medical School Lebanon , NH , USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth Medical School, Lebanon, NH, USA","institution_ids":[]},{"raw_affiliation_string":"Dartmouth Medical School Lebanon , NH , USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109067204","display_name":"Douglas Hill","orcid":null},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas P. Hill","raw_affiliation_strings":["Dartmouth Medical School, Lebanon, NH, USA","Dartmouth Medical School Lebanon , NH , USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth Medical School, Lebanon, NH, USA","institution_ids":[]},{"raw_affiliation_string":"Dartmouth Medical School Lebanon , NH , USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032971510","display_name":"Jason H. Moore","orcid":"https://orcid.org/0000-0002-5015-1099"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason H. Moore","raw_affiliation_strings":["Dartmouth Medical School, Lebanon, NH, USA","Dartmouth Medical School Lebanon , NH , USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth Medical School, Lebanon, NH, USA","institution_ids":[]},{"raw_affiliation_string":"Dartmouth Medical School Lebanon , NH , USA","institution_ids":["https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050692257"],"corresponding_institution_ids":["https://openalex.org/I107672454"],"apc_list":null,"apc_paid":null,"fwci":1.7447,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86398085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1785","last_page":"1786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9975000023841858,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9488999843597412,"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":0.9451000094413757,"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/epistasis","display_name":"Epistasis","score":0.7670837640762329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6130295395851135},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5850824117660522},{"id":"https://openalex.org/keywords/genetic-data","display_name":"Genetic data","score":0.460149347782135},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4498143792152405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.320171058177948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2781396210193634},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.23914486169815063},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.16023406386375427}],"concepts":[{"id":"https://openalex.org/C61727976","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Epistasis","level":3,"score":0.7670837640762329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6130295395851135},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5850824117660522},{"id":"https://openalex.org/C2993807623","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genetic data","level":3,"score":0.460149347782135},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4498143792152405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.320171058177948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2781396210193634},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.23914486169815063},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.16023406386375427},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1569901.1570160","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1570160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5600000023841858,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W89836143","https://openalex.org/W207704127","https://openalex.org/W234963275","https://openalex.org/W1596814795","https://openalex.org/W1600031511","https://openalex.org/W1966360257","https://openalex.org/W1971399377","https://openalex.org/W2016755304","https://openalex.org/W2072396808","https://openalex.org/W2078236617","https://openalex.org/W2084024059","https://openalex.org/W2113735218","https://openalex.org/W2378567322","https://openalex.org/W4299328967","https://openalex.org/W6609181777"],"related_works":["https://openalex.org/W1547817677","https://openalex.org/W2615678788","https://openalex.org/W2023460495","https://openalex.org/W2109954095","https://openalex.org/W1967902778","https://openalex.org/W3083099115","https://openalex.org/W1981509636","https://openalex.org/W3139253026","https://openalex.org/W3035525216","https://openalex.org/W2157308673"],"abstract_inverted_index":{"Common":[0],"human":[1,16,42],"diseases":[2],"likely":[3,85,206],"result":[4],"from":[5],"nonlinear":[6],"interactions":[7],"between":[8],"multiple":[9],"DNA":[10],"sequence":[11],"variations.":[12],"One":[13],"goal":[14],"of":[15,30,36,39,89,158,166,173,196],"genetics":[17],"is":[18,180,192],"to":[19,27,86,91,101,109,124,207],"use":[20],"data":[21,204],"mining":[22],"and":[23,57,76,93,191],"machine":[24],"learning":[25],"methods":[26],"identify":[28],"combinations":[29],"genetic":[31],"variations":[32],"that":[33,68,153],"are":[34,168,205],"predictive":[35],"discrete":[37],"measures":[38],"health":[40],"in":[41,59,177],"population":[43],"data.":[44],"\"Artificial":[45],"evolution\"":[46,70],"approaches":[47,71],"loosely":[48],"based":[49],"on":[50],"real":[51],"biological":[52,75],"processes":[53],"have":[54],"been":[55,66],"developed":[56],"applied":[58],"this":[60,154,171],"domain,":[61],"but":[62],"it":[63],"has":[64],"recently":[65],"suggested":[67],"\"computational":[69],"which":[72,178],"incorporate":[73],"additional":[74],"evolutionary":[77],"complexity":[78],"into":[79,135],"existing":[80],"algorithms":[81],"will":[82],"be":[83,208],"more":[84,148],"solve":[87],"problems":[88,201],"interest":[90],"biologists":[92],"biomedical":[94],"researchers.":[95],"Here":[96],"we":[97,143],"introduce":[98],"a":[99,110,118],"method":[100,172,195],"evolve":[102],"compact":[103],"solutions":[104],"by":[105],"adding":[106],"environmental":[107],"noise":[108,167],"dataset":[111],"during":[112,141],"fitness":[113,179],"evaluation.":[114],"In":[115],"ecological":[116],"systems":[117],"highly":[119],"specialized":[120],"organism":[121],"can":[122],"fail":[123],"thrive":[125],"as":[126],"the":[127,139,156,159,175,187,203],"environment":[128,176],"changes.":[129],"By":[130],"introducing":[131],"numerous":[132],"small":[133,183],"changes":[134],"training":[136],"data,":[137],"i.e.":[138],"environment,":[140],"evolution":[142,161,189],"similarly":[144],"drive":[145],"selection":[146],"towards":[147],"general":[149],"solutions.":[150],"We":[151],"show":[152],"improves":[155],"power":[157],"computational":[160,188],"system":[162],"when":[163],"modest":[164],"amounts":[165],"used.":[169],"Furthermore,":[170],"changing":[174],"evaluated":[181],"with":[182],"perturbations":[184],"fits":[185],"within":[186],"framework":[190],"an":[193],"effective":[194],"controlling":[197],"solution":[198],"size":[199],"for":[200],"where":[202],"noisy.":[209]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}