{"id":"https://openalex.org/W2221353625","doi":"https://doi.org/10.1109/bibm.2015.7359669","title":"Quantifying feed efficiency of dairy cattle for genome-wide association analysis","display_name":"Quantifying feed efficiency of dairy cattle for genome-wide association analysis","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2221353625","doi":"https://doi.org/10.1109/bibm.2015.7359669","mag":"2221353625"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2015.7359669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005345630","display_name":"Tingyang Xu","orcid":"https://orcid.org/0000-0002-8487-9045"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tingyang Xu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100567314","display_name":"Jiangwen Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiangwen Sun","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079648752","display_name":"Erin E. Connor","orcid":null},"institutions":[{"id":"https://openalex.org/I1312222531","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307"]},{"id":"https://openalex.org/I4210125976","display_name":"Beltsville Agricultural Research Center","ror":"https://ror.org/03b08sh51","country_code":"US","type":"facility","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307","https://openalex.org/I4210125976","https://openalex.org/I4210138094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin E Connor","raw_affiliation_strings":["Animal Genomics and Improvement Laboratory, USDA, Agricultural Research Service, Beltsville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Animal Genomics and Improvement Laboratory, USDA, Agricultural Research Service, Beltsville, MD, USA","institution_ids":["https://openalex.org/I1312222531","https://openalex.org/I4210125976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051393532","display_name":"Jinbo Bi","orcid":"https://orcid.org/0000-0001-6996-4092"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinbo Bi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06725146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"131","last_page":"134"},"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":1.0,"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":1.0,"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":0.9987999796867371,"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/T11229","display_name":"Genetics and Plant Breeding","score":0.9918000102043152,"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/residual-feed-intake","display_name":"Residual feed intake","score":0.9099397659301758},{"id":"https://openalex.org/keywords/feed-conversion-ratio","display_name":"Feed conversion ratio","score":0.8002477884292603},{"id":"https://openalex.org/keywords/heritability","display_name":"Heritability","score":0.7141051888465881},{"id":"https://openalex.org/keywords/dairy-cattle","display_name":"Dairy cattle","score":0.7034010291099548},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6393539309501648},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.529133677482605},{"id":"https://openalex.org/keywords/biotechnology","display_name":"Biotechnology","score":0.4918558597564697},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48144906759262085},{"id":"https://openalex.org/keywords/genetic-gain","display_name":"Genetic gain","score":0.44028595089912415},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4221409857273102},{"id":"https://openalex.org/keywords/genetic-variation","display_name":"Genetic variation","score":0.2983150780200958},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26860010623931885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2658062279224396},{"id":"https://openalex.org/keywords/animal-science","display_name":"Animal science","score":0.2634008228778839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22809052467346191},{"id":"https://openalex.org/keywords/body-weight","display_name":"Body weight","score":0.1594836413860321},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.12083885073661804}],"concepts":[{"id":"https://openalex.org/C2780527838","wikidata":"https://www.wikidata.org/wiki/Q17078143","display_name":"Residual feed intake","level":4,"score":0.9099397659301758},{"id":"https://openalex.org/C22830521","wikidata":"https://www.wikidata.org/wiki/Q649967","display_name":"Feed conversion ratio","level":3,"score":0.8002477884292603},{"id":"https://openalex.org/C161890455","wikidata":"https://www.wikidata.org/wiki/Q1503548","display_name":"Heritability","level":2,"score":0.7141051888465881},{"id":"https://openalex.org/C2776977481","wikidata":"https://www.wikidata.org/wiki/Q2915","display_name":"Dairy cattle","level":2,"score":0.7034010291099548},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6393539309501648},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.529133677482605},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","level":1,"score":0.4918558597564697},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48144906759262085},{"id":"https://openalex.org/C2778890363","wikidata":"https://www.wikidata.org/wiki/Q550479","display_name":"Genetic gain","level":4,"score":0.44028595089912415},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4221409857273102},{"id":"https://openalex.org/C68873052","wikidata":"https://www.wikidata.org/wiki/Q349856","display_name":"Genetic variation","level":3,"score":0.2983150780200958},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26860010623931885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2658062279224396},{"id":"https://openalex.org/C140793950","wikidata":"https://www.wikidata.org/wiki/Q168091","display_name":"Animal science","level":1,"score":0.2634008228778839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22809052467346191},{"id":"https://openalex.org/C147583825","wikidata":"https://www.wikidata.org/wiki/Q620876","display_name":"Body weight","level":2,"score":0.1594836413860321},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.12083885073661804},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"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/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2015.7359669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337398","display_name":"Division of Biological Infrastructure","ror":"https://ror.org/04qn9mx93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W71047797","https://openalex.org/W571071414","https://openalex.org/W1505662968","https://openalex.org/W2005016536","https://openalex.org/W2042425138","https://openalex.org/W2046914833","https://openalex.org/W2112264748","https://openalex.org/W2161633633","https://openalex.org/W2331649876","https://openalex.org/W2399027644","https://openalex.org/W2513592956","https://openalex.org/W3142801689","https://openalex.org/W6616331841","https://openalex.org/W6712902424","https://openalex.org/W6725703374"],"related_works":["https://openalex.org/W4361803191","https://openalex.org/W4378717993","https://openalex.org/W2165497074","https://openalex.org/W3019160431","https://openalex.org/W2153938050","https://openalex.org/W4388529295","https://openalex.org/W1968865989","https://openalex.org/W3192738034","https://openalex.org/W2809374607","https://openalex.org/W2221353625"],"abstract_inverted_index":{"Improving":[0],"feed":[1,14,59,72,80,94,137,151,216,238],"efficiency":[2,25,60,138,152,217,239],"in":[3,105,118,133,168],"dairy":[4,63],"production":[5,20],"is":[6,26,31,52,75,100,121],"an":[7],"important":[8],"endeavor,":[9],"as":[10,40],"it":[11],"can":[12,164],"reduce":[13],"costs":[15],"and":[16,47,82,109,162,193,195,206,231],"negative":[17],"impacts":[18],"of":[19,36,61,68,88,136,189,215],"on":[21],"the":[22,58,66,76,89,106,134],"environment.":[23],"Feed":[24],"a":[27,34,98,179,213],"multivariate":[28],"phenotype":[29],"that":[30,154,184,199],"characterized":[32,201],"by":[33,202,220,228],"variety":[35],"phenotypic":[37,191,204],"variables,":[38],"such":[39,97],"dry":[41],"matter":[42],"intake,":[43,73,84],"body":[44],"weight":[45],"gain,":[46],"milk":[48],"yield.":[49],"Currently,":[50],"there":[51],"no":[53,125],"consensus":[54],"method":[55,183],"for":[56,65,93],"quantifying":[57],"lactating":[62],"cattle":[64,147,197,223],"purpose":[67],"breeding":[69,119],"selection.":[70,170],"Residual":[71],"which":[74],"difference":[77],"between":[78],"actual":[79],"intake":[81],"predicted":[83],"has":[85,110,128],"been":[86,226],"one":[87],"commonly":[90],"used":[91],"measures":[92,192],"efficiency.":[95],"However,":[96],"measure":[99],"heterogeneous":[101],"showing":[102],"substantial":[103],"variation":[104],"cow":[107],"population":[108],"relatively":[111],"low":[112],"heritability":[113],"(0.01~0.38).":[114],"Hence,":[115],"its":[116],"utility":[117,167],"selection":[120],"limited.":[122],"In":[123,140,171],"particular,":[124],"prior":[126],"study":[127],"utilized":[129],"genetic":[130,160,210],"data":[131,218],"directly":[132],"development":[135],"measures.":[139],"this":[141,175],"paper,":[142],"we":[143,177],"aim":[144],"to":[145,157,159,173],"identify":[146],"clusters":[148,198],"with":[149,209],"homogeneous":[150],"features":[153,205],"are":[155,200],"ready":[156],"link":[158],"variants,":[161],"thus":[163],"have":[165,225],"greater":[166],"breading":[169],"order":[172],"achieve":[174],"goal,":[176],"explore":[178],"new":[180],"multi-view":[181],"clustering":[182],"jointly":[185],"analyzes":[186],"two":[187],"views":[188],"data:":[190],"genotypes,":[194],"identifies":[196],"specific":[203],"also":[207],"associated":[208],"markers.":[211],"Using":[212],"set":[214],"collected":[219],"USDA,":[221],"three":[222],"subgroups":[224],"identified":[227],"our":[229],"analysis,":[230],"they":[232],"offer":[233],"instructive":[234],"insights":[235],"into":[236],"future":[237],"studies.":[240]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}