{"id":"https://openalex.org/W1967454574","doi":"https://doi.org/10.1109/bibm.2014.6999290","title":"A sparse integrative cluster analysis for understanding soybean phenotypes","display_name":"A sparse integrative cluster analysis for understanding soybean phenotypes","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1967454574","doi":"https://doi.org/10.1109/bibm.2014.6999290","mag":"1967454574"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2014.6999290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/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","Dept. of Computer Science and Engineering, Univ. 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"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Univ. 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","Dept. of Computer Science and Engineering, Univ. 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"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Univ. of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","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","Dept. of Computer Science and Engineering, Univ. 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"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Univ. of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076666788","display_name":"Jin L\u00fc","orcid":"https://orcid.org/0000-0003-1356-0202"},"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":"Jin Lu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA","Dept. of Computer Science and Engineering, Univ. 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"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Univ. of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100299026","display_name":"Yansong Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210158190","display_name":"Institute of Crop Sciences","ror":"https://ror.org/051abs833","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987","https://openalex.org/I4210158190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansong Ma","raw_affiliation_strings":["Chinese Academy of Agricultural Sciences, Institute of Crop Science, Beijing, China","Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Agricultural Sciences, Institute of Crop Science, Beijing, China","institution_ids":["https://openalex.org/I4210138501","https://openalex.org/I4210158190"]},{"raw_affiliation_string":"Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210138501","https://openalex.org/I4210158190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101889622","display_name":"Lijuan Qiu","orcid":"https://orcid.org/0000-0001-5777-3344"},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210158190","display_name":"Institute of Crop Sciences","ror":"https://ror.org/051abs833","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987","https://openalex.org/I4210158190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Qiu","raw_affiliation_strings":["Chinese Academy of Agricultural Sciences, Institute of Crop Science, Beijing, China","Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Agricultural Sciences, Institute of Crop Science, Beijing, China","institution_ids":["https://openalex.org/I4210138501","https://openalex.org/I4210158190"]},{"raw_affiliation_string":"Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210138501","https://openalex.org/I4210158190"]}]}],"institutions":[],"countries_distinct_count":2,"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":1,"citation_normalized_percentile":{"value":0.06518886,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12571","display_name":"Soybean genetics and cultivation","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T12571","display_name":"Soybean genetics and cultivation","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.995199978351593,"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/T12771","display_name":"Plant pathogens and resistance mechanisms","score":0.980400025844574,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6540476083755493},{"id":"https://openalex.org/keywords/domestication","display_name":"Domestication","score":0.5790373682975769},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5289701819419861},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.44548195600509644},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.4307458996772766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31003570556640625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2709004580974579},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1963711380958557},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09924247860908508}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6540476083755493},{"id":"https://openalex.org/C134387633","wikidata":"https://www.wikidata.org/wiki/Q11395","display_name":"Domestication","level":2,"score":0.5790373682975769},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5289701819419861},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.44548195600509644},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4307458996772766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31003570556640625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2709004580974579},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1963711380958557},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09924247860908508},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2014.6999290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W53987483","https://openalex.org/W1992918752","https://openalex.org/W2016901119","https://openalex.org/W2047261304","https://openalex.org/W2048679005","https://openalex.org/W2056587400","https://openalex.org/W2072623688","https://openalex.org/W2077396044","https://openalex.org/W2080690021","https://openalex.org/W2083052434","https://openalex.org/W2101324110","https://openalex.org/W2110877857","https://openalex.org/W2117309679","https://openalex.org/W2128614648","https://openalex.org/W2130123132","https://openalex.org/W2133149215","https://openalex.org/W2142674578","https://openalex.org/W2154415691","https://openalex.org/W2158703881","https://openalex.org/W2246538444","https://openalex.org/W3106329826","https://openalex.org/W4255387915","https://openalex.org/W6602211964","https://openalex.org/W6675134712","https://openalex.org/W6676641035","https://openalex.org/W6679131053","https://openalex.org/W6682991666","https://openalex.org/W6683255826","https://openalex.org/W6691033064"],"related_works":["https://openalex.org/W2153696549","https://openalex.org/W2084160489","https://openalex.org/W4206001110","https://openalex.org/W3195678672","https://openalex.org/W3134153936","https://openalex.org/W2785596416","https://openalex.org/W1910920621","https://openalex.org/W2098810966","https://openalex.org/W2883041678","https://openalex.org/W1607814224"],"abstract_inverted_index":{"Soybean":[0],"is":[1,88,129],"one":[2],"of":[3,16,28,33,38,68,84,171],"the":[4,26,36,73,85,94,116,137,143,150,157,168,172],"most":[5,158],"important":[6],"crops":[7],"for":[8,72],"food,":[9],"feed":[10],"and":[11,35,140],"bio-energy":[12],"world-wide.":[13],"The":[14],"study":[15],"soybean":[17,29,39,44,75,96,133,151],"phenotypic":[18],"variation":[19],"at":[20,61,77,120,145],"different":[21,62,78,102,138],"geographical":[22,63],"locations":[23,79,139],"can":[24,46],"help":[25],"understanding":[27],"domestication,":[30],"population":[31],"structure":[32],"soybean,":[34],"conservation":[37],"biodiversity.":[40],"We":[41,104],"investigate":[42],"if":[43],"varieties":[45,54],"be":[47],"identified":[48],"that":[49,113],"they":[50],"differ":[51],"from":[52,101],"other":[53],"on":[55,99,148],"multiple":[56],"traits":[57,69],"even":[58],"when":[59],"growing":[60],"locations.":[64,103],"When":[65],"a":[66,106,154],"collection":[67],"are":[70,156],"observed":[71],"same":[74,95],"type":[76],"(different":[80],"views),":[81],"joint":[82],"analysis":[83],"multiple-view":[86],"data":[87,100,117],"required":[89],"in":[90],"order":[91],"to":[92,131],"identify":[93,142],"clusters":[97],"based":[98],"employ":[105],"new":[107],"multi-view":[108,164],"singular":[109,125],"value":[110],"decomposition":[111],"approach":[112,128],"simultaneously":[114,141],"decomposes":[115],"matrix":[118],"gathered":[119],"each":[121,146],"location":[122,147],"into":[123],"sparse":[124],"vectors.":[126],"This":[127],"able":[130],"group":[132],"samples":[134,152],"consistently":[135],"across":[136],"phenotypes":[144],"which":[149],"within":[153],"cluster":[155],"similar.":[159],"Comparison":[160],"with":[161],"several":[162],"latest":[163],"co-clustering":[165],"methods":[166],"demonstrates":[167],"superior":[169],"performance":[170],"proposed":[173],"approach.":[174]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}