{"id":"https://openalex.org/W2772479765","doi":"https://doi.org/10.1109/bibm.2017.8218025","title":"Application of deep learning in genomic selection","display_name":"Application of deep learning in genomic selection","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2772479765","doi":"https://doi.org/10.1109/bibm.2017.8218025","mag":"2772479765"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8218025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8218025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5100355859","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-3479-9223"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Informatics Institute, University of Missouri, Columbia, Columbia, MO USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Missouri, Columbia, Columbia, MO USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003943520","display_name":"Duolin Wang","orcid":"https://orcid.org/0000-0003-1649-460X"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duolin Wang","raw_affiliation_strings":["Christopher S. Bond Life Sciences, University of Missouri, Columbia, Columbia, MO USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Christopher S. Bond Life Sciences, University of Missouri, Columbia, Columbia, MO USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2280","last_page":"2280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9997000098228455,"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/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9997000098228455,"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/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9958999752998352,"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/T11229","display_name":"Genetics and Plant Breeding","score":0.9459999799728394,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linkage-disequilibrium","display_name":"Linkage disequilibrium","score":0.7535828351974487},{"id":"https://openalex.org/keywords/heritability","display_name":"Heritability","score":0.7093222141265869},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.5757223963737488},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5519994497299194},{"id":"https://openalex.org/keywords/best-linear-unbiased-prediction","display_name":"Best linear unbiased prediction","score":0.5489639639854431},{"id":"https://openalex.org/keywords/trait","display_name":"Trait","score":0.5278439521789551},{"id":"https://openalex.org/keywords/quantitative-trait-locus","display_name":"Quantitative trait locus","score":0.5243834853172302},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.5215456485748291},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4899241328239441},{"id":"https://openalex.org/keywords/genetic-gain","display_name":"Genetic gain","score":0.46538296341896057},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.4495108723640442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44199639558792114},{"id":"https://openalex.org/keywords/breeding-program","display_name":"Breeding program","score":0.44030991196632385},{"id":"https://openalex.org/keywords/plant-breeding","display_name":"Plant breeding","score":0.4155206084251404},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3844529986381531},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.31270134449005127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27360814809799194},{"id":"https://openalex.org/keywords/genetic-variation","display_name":"Genetic variation","score":0.1909671425819397},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.17383304238319397},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.10457420349121094},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.08057788014411926}],"concepts":[{"id":"https://openalex.org/C35605836","wikidata":"https://www.wikidata.org/wiki/Q2064311","display_name":"Linkage disequilibrium","level":5,"score":0.7535828351974487},{"id":"https://openalex.org/C161890455","wikidata":"https://www.wikidata.org/wiki/Q1503548","display_name":"Heritability","level":2,"score":0.7093222141265869},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.5757223963737488},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5519994497299194},{"id":"https://openalex.org/C103545067","wikidata":"https://www.wikidata.org/wiki/Q796265","display_name":"Best linear unbiased prediction","level":3,"score":0.5489639639854431},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.5278439521789551},{"id":"https://openalex.org/C81941488","wikidata":"https://www.wikidata.org/wiki/Q853421","display_name":"Quantitative trait locus","level":3,"score":0.5243834853172302},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.5215456485748291},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4899241328239441},{"id":"https://openalex.org/C2778890363","wikidata":"https://www.wikidata.org/wiki/Q550479","display_name":"Genetic gain","level":4,"score":0.46538296341896057},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.4495108723640442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44199639558792114},{"id":"https://openalex.org/C104959735","wikidata":"https://www.wikidata.org/wiki/Q4960291","display_name":"Breeding program","level":3,"score":0.44030991196632385},{"id":"https://openalex.org/C155015343","wikidata":"https://www.wikidata.org/wiki/Q788558","display_name":"Plant breeding","level":2,"score":0.4155206084251404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3844529986381531},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.31270134449005127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27360814809799194},{"id":"https://openalex.org/C68873052","wikidata":"https://www.wikidata.org/wiki/Q349856","display_name":"Genetic variation","level":3,"score":0.1909671425819397},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.17383304238319397},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.10457420349121094},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.08057788014411926},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C197321923","wikidata":"https://www.wikidata.org/wiki/Q4886","display_name":"Cultivar","level":2,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2017.8218025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8218025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3081314636","https://openalex.org/W2020289302","https://openalex.org/W4322154631","https://openalex.org/W258845379","https://openalex.org/W1980777931","https://openalex.org/W3155741155","https://openalex.org/W2281613523","https://openalex.org/W2073473192","https://openalex.org/W3019689148","https://openalex.org/W2810102070"],"abstract_inverted_index":{"Genomic":[0],"selection":[1,6],"(GS)":[2],"is":[3,197],"a":[4,58,112,128,145,156],"marker-assisted":[5],"approach":[7],"to":[8,26,35,66,75],"enhance":[9],"quantitative":[10],"traits":[11],"in":[12,15,39,160,199,217],"breeding":[13,28,37,70,202],"population":[14,120,137],"which":[16,171],"whole":[17],"genome":[18],"single-nucleotide":[19],"polymorphisms":[20],"(SNPs)":[21],"markers":[22],"can":[23],"be":[24],"used":[25],"predict":[27,67],"values":[29,203],"(BV).":[30],"GS":[31],"has":[32],"been":[33],"proved":[34],"increase":[36],"efficiency":[38],"both":[40],"plant":[41],"and":[42,52,73,105,133,179,188,204],"animal":[43],"breeding,":[44],"such":[45],"as":[46],"dairy":[47],"cattle,":[48],"pig,":[49],"rice,":[50],"soybean":[51],"loblolly":[53],"pine.":[54],"Here,":[55],"we":[56],"propose":[57],"deep-learning":[59,151,195],"model":[60,152,168,196],"using":[61],"convolutional":[62],"neural":[63],"network":[64],"(CNN)":[65],"genomic":[68],"estimated":[69],"value":[71],"(GEBV)":[72],"also":[74,213],"investigate":[76],"neighboring":[77],"SNP":[78,208],"effects":[79,209],"within":[80],"linkage":[81],"disequilibrium.":[82],"We":[83],"have":[84],"applied":[85],"our":[86],"models":[87],"on":[88,96,111,162],"two":[89],"datasets:":[90],"1)":[91],"grain":[92],"yield":[93],"(YLD)":[94],"trait":[95,110,129,146],"Glycine":[97],"Max":[98],"(soybean)":[99],"nested":[100],"association":[101],"mapping":[102],"(NAM)":[103],"dataset":[104],"2)":[106],"stem":[107],"height":[108],"(HT)":[109],"Pinus":[113],"taeda":[114],"(loblolly":[115],"pine)":[116],"dataset.":[117],"The":[118,191],"SoyNAM":[119],"contains":[121,138],"4,313":[122],"SNPs":[123,140],"from":[124,141,210],"5,139":[125],"individuals":[126,143],"with":[127,144,155],"heritability":[130,147],"of":[131,148],"0.345":[132],"the":[134,222],"Loblolly":[135],"Pine":[136],"4,853":[139],"861":[142],"0.31.":[149],"Our":[150,167],"was":[153,172],"tested":[154],"10-fold":[157],"cross-validation,":[158],"run":[159],"parallel":[161],"graphic":[163],"processing":[164],"units":[165],"(GPUs).":[166],"prediction":[169],"accuracy,":[170],"calculated":[173],"by":[174],"Pearson":[175],"Correlation":[176],"between":[177],"GEBV":[178],"observed":[180],"values,":[181],"outperforms":[182],"traditional":[183],"statistical":[184],"RR-BLUP,":[185],"Bayesian":[186],"LASSO":[187],"BayesA":[189],"models.":[190],"results":[192],"indicate":[193],"that":[194],"efficient":[198],"accurately":[200],"computing":[201],"simultaneously":[205],"studying":[206],"nearby":[207],"CNNs.":[211],"It":[212],"indicates":[214],"powerful":[215],"potential":[216],"interpreting":[218],"phenotype-genotype":[219],"associations":[220],"over":[221],"entire":[223],"genome.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
