{"id":"https://openalex.org/W3033810402","doi":null,"title":"Designing and modeling high-throughput phenotyping data in quantitative genetics","display_name":"Designing and modeling high-throughput phenotyping data in quantitative genetics","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3033810402","mag":"3033810402"},"language":"en","primary_location":{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/97579","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/97579","pdf_url":"http://hdl.handle.net/10919/97579","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10919/97579","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059986707","display_name":"Haipeng Yu","orcid":"https://orcid.org/0000-0002-8923-9733","observed_orcids":["https://orcid.org/0000-0002-8923-9733"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Haipeng Yu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8923-9733","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5059986707"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9980000257492065,"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":0.9980000257492065,"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":0.0007999999797903001,"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":9.999999747378752e-05,"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/high-throughput-phenotyping","display_name":"high-throughput phenotyping","score":0.9990000128746033},{"id":"https://openalex.org/keywords/confirmatory-factor-analysis","display_name":"confirmatory factor analysis","score":0.7730000019073486},{"id":"https://openalex.org/keywords/bayesian-networks","display_name":"Bayesian networks","score":0.9409999847412109},{"id":"https://openalex.org/keywords/prediction-accuracy","display_name":"prediction accuracy","score":0.7570000290870667},{"id":"https://openalex.org/keywords/genetic-markers","display_name":"genetic markers","score":0.46799999475479126}],"concepts":[{"id":"https://openalex.org/C51255272","wikidata":"https://www.wikidata.org/wiki/Q550479","display_name":"Quantitative genetics","level":4,"score":0.5503024458885193},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5119951367378235},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.47329774498939514},{"id":"https://openalex.org/C555299818","wikidata":"https://www.wikidata.org/wiki/Q15709513","display_name":"Statistical genetics","level":5,"score":0.4493905007839203},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44051414728164673},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.42858627438545227},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.39674222469329834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3942752182483673},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.38476020097732544},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.22175249457359314},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.13030195236206055},{"id":"https://openalex.org/C68873052","wikidata":"https://www.wikidata.org/wiki/Q349856","display_name":"Genetic variation","level":3,"score":0.1128336489200592},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.08495011925697327},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/97579","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/97579","pdf_url":"http://hdl.handle.net/10919/97579","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},{"id":"mag:3033810402","doi":null,"is_oa":false,"landing_page_url":"https://vtechworks.lib.vt.edu/handle/10919/97579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/97579","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/97579","pdf_url":"http://hdl.handle.net/10919/97579","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3033810402.pdf","grobid_xml":"https://content.openalex.org/works/W3033810402.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1970149620","https://openalex.org/W2058515466","https://openalex.org/W2071450791","https://openalex.org/W2086330580","https://openalex.org/W2118692586","https://openalex.org/W2128088446","https://openalex.org/W2143891888","https://openalex.org/W2159325249","https://openalex.org/W2177847511","https://openalex.org/W2476077119"],"related_works":["https://openalex.org/W2942381594","https://openalex.org/W7071614830","https://openalex.org/W4396651760","https://openalex.org/W2074557360","https://openalex.org/W1882363764","https://openalex.org/W3165576532","https://openalex.org/W4400915287","https://openalex.org/W7153957121","https://openalex.org/W6958755128","https://openalex.org/W7114399841"],"abstract_inverted_index":{"Quantitative":[0],"genetics":[1],"aims":[2],"to":[3,7,22,40,108,123,136,198,214,246,262,268],"bridge":[4],"the":[5,18,57,95,110,143,152,180,200,205,221,231,234,239,255,273],"genome":[6,21],"phenome":[8,23],"gap.":[9],"The":[10,114,166,183,249],"advent":[11],"of":[12,20,60,112,116,145,196,202,223,242],"high-throughput":[13,32],"genotyping":[14],"technologies":[15],"has":[16,63],"accelerated":[17],"progress":[19],"mapping,":[24],"but":[25],"a":[26,75,120,134,187,194,210,259],"challenge":[27,77],"remains":[28],"in":[29,45,148,179,254],"phenotyping.":[30,113],"Various":[31],"phenotyping":[33],"(HTP)":[34],"platforms":[35],"have":[36],"been":[37,65],"developed":[38],"recently":[39],"obtain":[41],"economically":[42],"important":[43],"phenotypes":[44,99,276],"an":[46],"automated":[47],"fashion":[48],"with":[49,162],"less":[50],"human":[51],"labor":[52],"and":[53,93,159,171,227],"reduced":[54],"costs.":[55],"However,":[56],"effective":[58],"way":[59],"designing":[61],"HTP":[62,71,91,217,265],"not":[64],"investigated":[66,178],"thoroughly.":[67],"In":[68,151,204],"addition,":[69],"high-dimensional":[70,90,216,264],"data":[72,92,218,266],"bring":[73],"up":[74],"big":[76],"for":[78,88],"statistical":[79,212,250],"analysis":[80,226],"by":[81,219],"increasing":[82],"computational":[83],"demands.":[84],"A":[85],"new":[86,121,211,260],"strategy":[87],"modeling":[89],"elucidating":[94],"interrelationships":[96,274],"among":[97,275],"these":[98],"are":[100],"needed.":[101],"Previous":[102],"studies":[103,237],"used":[104],"pedigree-based":[105,164],"connectetdness":[106],"statistics":[107],"study":[109,185,257],"design":[111,137,247],"availability":[115],"genetic":[117],"markers":[118],"provides":[119,193,258],"opportunity":[122],"evaluate":[124,199],"connectedness":[125,146,158,170,189,245],"based":[126,174],"on":[127,175],"genomic":[128,157,169,244],"data,":[129],"which":[130,192],"can":[131],"serve":[132],"as":[133],"means":[135],"HTP.":[138,248,279],"This":[139],"dissertation":[140],"first":[141,153,235],"discusses":[142],"utility":[144],"spanning":[147],"three":[149,236],"studies.":[150],"study,":[154,207],"I":[155,208,252],"introduced":[156,186,253],"compared":[160],"it":[161],"traditional":[163],"connectedness.":[165,203],"relationship":[167],"between":[168],"prediction":[172],"accuracy":[173],"cross-validation":[176],"was":[177],"second":[181],"study.":[182],"third":[184],"user-friendly":[188],"R":[190],"package,":[191],"suite":[195],"functions":[197],"extent":[201],"last":[206,256],"proposed":[209],"approach":[213,251],"model":[215,263],"leveraging":[220],"combination":[222],"confirmatory":[224],"factor":[225],"Bayesian":[228],"network.":[229],"Collectively,":[230],"results":[232],"from":[233,278],"suggested":[238],"potential":[240],"usefulness":[241],"applying":[243],"avenue":[261],"holistically":[267],"further":[269],"help":[270],"us":[271],"understand":[272],"derived":[277]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-06-12T00:00:00"}