{"id":"https://openalex.org/W2923082472","doi":"https://doi.org/10.1109/tcbb.2019.2907536","title":"Deep Collaborative Filtering for Prediction of Disease Genes","display_name":"Deep Collaborative Filtering for Prediction of Disease Genes","publication_year":2019,"publication_date":"2019-03-26","ids":{"openalex":"https://openalex.org/W2923082472","doi":"https://doi.org/10.1109/tcbb.2019.2907536","mag":"2923082472","pmid":"https://pubmed.ncbi.nlm.nih.gov/30932845"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2019.2907536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2019.2907536","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5027286013","display_name":"Xiangxiang Zeng","orcid":"https://orcid.org/0000-0003-1081-7658"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxiang Zeng","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-1081-7658","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083113112","display_name":"Yinglai Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinglai Lin","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103724764","display_name":"Yuying He","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuying He","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000969982","display_name":"Linyuan L\u00fc","orcid":"https://orcid.org/0000-0002-2156-0432"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyuan L\u00fc","raw_affiliation_strings":["Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","Alibaba Research Center for Complexity Sciences, Alibaba Business College, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Alibaba Research Center for Complexity Sciences, Alibaba Business College, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090466533","display_name":"Xiaoping Min","orcid":"https://orcid.org/0000-0002-0817-0878"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Min","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-0817-0878","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049425478","display_name":"Alfonso Rodr\u00edguez\u2010Pat\u00f3n","orcid":"https://orcid.org/0000-0001-7289-2114"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alfonso Rodr\u00edguez-Pat\u00f3n","raw_affiliation_strings":["Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0001-7289-2114","affiliations":[{"raw_affiliation_string":"Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8217,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.8571066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":"5","first_page":"1639","last_page":"1647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9983000159263611,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.987500011920929,"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/computer-science","display_name":"Computer science","score":0.7412928342819214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5957663655281067},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.584328830242157},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5828437805175781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5815852880477905},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.542877733707428},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.542393684387207},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5385602116584778},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5046259164810181},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5017385482788086},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49408891797065735},{"id":"https://openalex.org/keywords/omim-online-mendelian-inheritance-in-man","display_name":"OMIM : Online Mendelian Inheritance in Man","score":0.4666360020637512},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4628315269947052},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4440992474555969},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4255457818508148},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.42078298330307007},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4190112352371216},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.19481709599494934},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.188217431306839},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17363399267196655},{"id":"https://openalex.org/keywords/phenotype","display_name":"Phenotype","score":0.17300939559936523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12310031056404114},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10696107149124146},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10278230905532837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7412928342819214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5957663655281067},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.584328830242157},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5828437805175781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5815852880477905},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.542877733707428},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.542393684387207},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5385602116584778},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5046259164810181},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5017385482788086},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49408891797065735},{"id":"https://openalex.org/C191791410","wikidata":"https://www.wikidata.org/wiki/Q241953","display_name":"OMIM : Online Mendelian Inheritance in Man","level":4,"score":0.4666360020637512},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4628315269947052},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4440992474555969},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4255457818508148},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.42078298330307007},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4190112352371216},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.19481709599494934},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.188217431306839},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17363399267196655},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.17300939559936523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12310031056404114},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10696107149124146},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10278230905532837},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004194","descriptor_name":"Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004194","descriptor_name":"Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004194","descriptor_name":"Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056726","descriptor_name":"Genetic Association Studies","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056726","descriptor_name":"Genetic Association Studies","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056726","descriptor_name":"Genetic Association Studies","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2019.2907536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2019.2907536","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:30932845","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30932845","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G3434551080","display_name":"\u57fa\u4e8e\u6838\u9178\u7cfb\u7edf\u7684\u590d\u6742\u5206\u5b50\u903b\u8f91\u7535\u8def\u7814\u7a76","funder_award_id":"61472333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4730625445","display_name":null,"funder_award_id":"and 414761","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5359985857","display_name":"\u9762\u5411\u5fae\u535a\u7684\u5b9e\u65f6\u4e8b\u4ef6\u6df1\u5ea6\u6316\u6398\u7814\u7a76","funder_award_id":"61472335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5887965342","display_name":null,"funder_award_id":"61472333, 61772441, 61472335, 61272152, and 414761","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7844887611","display_name":"\u7f51\u72b6\u7ed3\u6784\u819c\u8ba1\u7b97\u6a21\u578b\u7684\u8ba1\u7b97\u7406\u8bba\u53ca\u82e5\u5e72\u5e94\u7528\u7814\u7a76","funder_award_id":"61272152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8390325463","display_name":"\u57fa\u4e8e\u566c\u83cc\u4f53\u548c\u8d28\u7c92\u7684\u795e\u7ecf\u819c\u7cfb\u7edf\u7814\u7a76","funder_award_id":"61772441","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1523385540","https://openalex.org/W1625061074","https://openalex.org/W1703735685","https://openalex.org/W1929627202","https://openalex.org/W1970250905","https://openalex.org/W1985849948","https://openalex.org/W2010239416","https://openalex.org/W2017994420","https://openalex.org/W2025768430","https://openalex.org/W2038122249","https://openalex.org/W2038585576","https://openalex.org/W2048296798","https://openalex.org/W2048593866","https://openalex.org/W2048657872","https://openalex.org/W2054141820","https://openalex.org/W2074395112","https://openalex.org/W2097498614","https://openalex.org/W2097532544","https://openalex.org/W2100582962","https://openalex.org/W2101216488","https://openalex.org/W2103478816","https://openalex.org/W2108753466","https://openalex.org/W2110798204","https://openalex.org/W2117720828","https://openalex.org/W2119220491","https://openalex.org/W2123688186","https://openalex.org/W2125118217","https://openalex.org/W2133045719","https://openalex.org/W2134092731","https://openalex.org/W2135650997","https://openalex.org/W2137028279","https://openalex.org/W2141729174","https://openalex.org/W2145094598","https://openalex.org/W2154654747","https://openalex.org/W2157881433","https://openalex.org/W2163965551","https://openalex.org/W2167865654","https://openalex.org/W2247577512","https://openalex.org/W2537623931","https://openalex.org/W2540556213","https://openalex.org/W2624617553","https://openalex.org/W2794479004","https://openalex.org/W2997574889","https://openalex.org/W4236241609","https://openalex.org/W4256017672","https://openalex.org/W6631216910","https://openalex.org/W6637474009","https://openalex.org/W6676253046","https://openalex.org/W6681096077","https://openalex.org/W6691132155"],"related_works":["https://openalex.org/W2398165842","https://openalex.org/W197922276","https://openalex.org/W4226158052","https://openalex.org/W1809731386","https://openalex.org/W4388863299","https://openalex.org/W2160332782","https://openalex.org/W2945818642","https://openalex.org/W2146181690","https://openalex.org/W2006998619","https://openalex.org/W2556985004"],"abstract_inverted_index":{"Accurate":[0],"prioritization":[1],"of":[2,28,60,67,90,102,159],"potential":[3],"disease":[4,172,196],"genes":[5,91],"is":[6,26,84,139,190],"a":[7,149],"fundamental":[8],"challenge":[9],"in":[10,41,80,92,133,147,157],"biomedical":[11],"research.":[12],"Various":[13],"algorithms":[14],"have":[15],"been":[16],"developed":[17],"to":[18,112],"solve":[19],"such":[20],"problems.":[21],"Inductive":[22],"Matrix":[23],"Completion":[24],"(IMC)":[25],"one":[27],"the":[29,46,58,65,87,129,160,164,171,208],"most":[30],"reliable":[31],"models":[32],"for":[33,100,193],"its":[34,38],"well-established":[35],"framework":[36],"and":[37,74,77,152,179,207],"superior":[39],"performance":[40,121],"predicting":[42],"gene-disease":[43],"associations.":[44,183],"However,":[45],"IMC":[47,146],"method":[48],"does":[49],"not":[50],"hierarchically":[51],"extract":[52],"deep":[53,68],"features,":[54],"which":[55,70],"might":[56],"limit":[57],"quality":[59],"recovery.":[61],"In":[62],"this":[63],"case,":[64],"architecture":[66],"learning,":[69],"obtains":[71],"high-level":[72],"representations":[73],"handles":[75],"noises":[76],"outliers":[78],"presented":[79],"large-scale":[81],"biological":[82],"datasets,":[83],"introduced":[85],"into":[86],"side":[88],"information":[89],"our":[93],"Deep":[94],"Collaborative":[95],"Filtering":[96],"(DCF)":[97],"model.":[98],"Further,":[99],"lack":[101],"negative":[103],"examples,":[104],"we":[105,168],"also":[106,169],"exploit":[107],"Positive-Unlabeled":[108],"(PU)":[109],"learning":[110],"formulation":[111],"low-rank":[113],"matrix":[114],"completion.":[115],"Our":[116,137],"approach":[117,138],"achieves":[118],"substantially":[119],"improved":[120],"over":[122],"other":[123,155],"state-of-the-art":[124],"methods":[125],"on":[126],"diseases":[127],"from":[128],"Online":[130],"Mendelian":[131],"Inheritance":[132],"Man":[134],"(OMIM)":[135],"database.":[136],"10":[140],"percent":[141],"more":[142],"efficient":[143],"than":[144],"standard":[145],"detecting":[148],"true":[150],"association,":[151],"significantly":[153],"outperforms":[154],"alternatives":[156],"terms":[158],"precision-recall":[161],"metric":[162],"at":[163,212],"top-k":[165],"predictions.":[166],"Moreover,":[167],"validate":[170],"with":[173],"no":[174],"previously":[175],"known":[176],"gene":[177],"associations":[178],"newly":[180],"reported":[181],"OMIM":[182],"The":[184,204],"experimental":[185],"results":[186],"show":[187],"that":[188],"DCF":[189],"still":[191],"satisfactory":[192],"ranking":[194],"novel":[195],"phenotypes":[197],"as":[198,200],"well":[199],"mining":[201],"unexplored":[202],"relationships.":[203],"source":[205],"code":[206],"data":[209],"are":[210],"available":[211],"https://github.com/xzenglab/DCF.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":10}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}