{"id":"https://openalex.org/W2908981246","doi":"https://doi.org/10.1109/access.2019.2892120","title":"A Randomized Clustering Forest Approach for Efficient Prediction of Protein Functions","display_name":"A Randomized Clustering Forest Approach for Efficient Prediction of Protein Functions","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2908981246","doi":"https://doi.org/10.1109/access.2019.2892120","mag":"2908981246"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2892120","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2892120","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08610153.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08610153.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101831967","display_name":"Hong Tang","orcid":"https://orcid.org/0000-0003-0526-2571"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Tang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101641811","display_name":"Yuanyuan Wang","orcid":"https://orcid.org/0009-0003-6534-594X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Wang","raw_affiliation_strings":["College of Education, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Education, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074182186","display_name":"Shaomin Tang","orcid":"https://orcid.org/0000-0001-9974-2191"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaomin Tang","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089932171","display_name":"Dianhui Chu","orcid":"https://orcid.org/0000-0001-8039-8394"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianhui Chu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Weihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102010211","display_name":"Chunshan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunshan Li","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Weihai, China"],"raw_orcid":"https://orcid.org/0000-0002-0907-5821","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2824,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63353644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"12360","last_page":"12372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9986000061035156,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.763960599899292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7596340179443359},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5757678747177124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5653191208839417},{"id":"https://openalex.org/keywords/protein-function-prediction","display_name":"Protein function prediction","score":0.5559207201004028},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5513055324554443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5004637241363525},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4981727600097656},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4884175658226013},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43452784419059753},{"id":"https://openalex.org/keywords/protein-function","display_name":"Protein function","score":0.2097509205341339},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13427379727363586}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.763960599899292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7596340179443359},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5757678747177124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5653191208839417},{"id":"https://openalex.org/C207060522","wikidata":"https://www.wikidata.org/wiki/Q7251473","display_name":"Protein function prediction","level":4,"score":0.5559207201004028},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5513055324554443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5004637241363525},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4981727600097656},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4884175658226013},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43452784419059753},{"id":"https://openalex.org/C2986374874","wikidata":"https://www.wikidata.org/wiki/Q8054","display_name":"Protein function","level":3,"score":0.2097509205341339},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13427379727363586},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2892120","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2892120","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08610153.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c4065e51e14042e59054784d1b9ca9aa","is_oa":true,"landing_page_url":"https://doaj.org/article/c4065e51e14042e59054784d1b9ca9aa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 12360-12372 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2892120","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2892120","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08610153.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G2300789204","display_name":null,"funder_award_id":"ZR201702150244","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8286498368","display_name":"\u591a\u7ef4\u5927\u6570\u636e\u9a71\u52a8\u7684\u670d\u52a1\u4f18\u5316\u7ec4\u5408\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772159","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"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2908981246.pdf","grobid_xml":"https://content.openalex.org/works/W2908981246.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W108594006","https://openalex.org/W130478469","https://openalex.org/W204162763","https://openalex.org/W216283022","https://openalex.org/W1549710828","https://openalex.org/W1560331282","https://openalex.org/W1565746575","https://openalex.org/W1753402186","https://openalex.org/W1967542092","https://openalex.org/W1971039378","https://openalex.org/W1985035762","https://openalex.org/W1985881688","https://openalex.org/W2011235285","https://openalex.org/W2014566476","https://openalex.org/W2027266161","https://openalex.org/W2037248153","https://openalex.org/W2057378058","https://openalex.org/W2061351061","https://openalex.org/W2091961126","https://openalex.org/W2094651715","https://openalex.org/W2099330554","https://openalex.org/W2108745803","https://openalex.org/W2110119381","https://openalex.org/W2112792893","https://openalex.org/W2112837588","https://openalex.org/W2118712128","https://openalex.org/W2121625657","https://openalex.org/W2127723919","https://openalex.org/W2129026672","https://openalex.org/W2135533176","https://openalex.org/W2136510126","https://openalex.org/W2136595724","https://openalex.org/W2150441555","https://openalex.org/W2154139219","https://openalex.org/W2154840533","https://openalex.org/W2155144632","https://openalex.org/W2156935079","https://openalex.org/W2157065343","https://openalex.org/W2163474322","https://openalex.org/W2164736477","https://openalex.org/W2166865790","https://openalex.org/W2168975192","https://openalex.org/W2323770312","https://openalex.org/W2341336811","https://openalex.org/W2410487015","https://openalex.org/W2443284789","https://openalex.org/W2711266013","https://openalex.org/W2758068744","https://openalex.org/W2781712876","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2950787579","https://openalex.org/W4212883601","https://openalex.org/W6605369036","https://openalex.org/W6608610325","https://openalex.org/W6666040507","https://openalex.org/W6668619392","https://openalex.org/W6676245398","https://openalex.org/W6677758222","https://openalex.org/W6679196975","https://openalex.org/W6680102115","https://openalex.org/W6680240620","https://openalex.org/W6682932635","https://openalex.org/W6682939927","https://openalex.org/W6684158799","https://openalex.org/W6684350518","https://openalex.org/W6744723629"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"With":[0],"the":[1,7,109,125,144,148,171,174],"advances":[2],"in":[3,18,50,113],"genetic":[4],"sequencing":[5],"technology,":[6],"automated":[8],"assignment":[9],"of":[10,27,30,33,97,173],"protein":[11,57,88,159,167],"function":[12,43,49,58,89,111,160],"has":[13],"become":[14],"a":[15,31,47,55,75,95,103,120],"key":[16],"challenge":[17],"bioinformatics":[19],"and":[20,36,101,137,187],"computational":[21],"biology.":[22],"In":[23,70,91],"nature,":[24],"many":[25],"kinds":[26],"proteins":[28],"consist":[29],"variety":[32],"structural":[34],"domains,":[35],"each":[37],"domain":[38],"almost":[39],"holds":[40],"its":[41],"own":[42],"independently":[44],"or":[45],"implements":[46],"new":[48],"cooperation":[51],"with":[52,119,178],"neighbors.":[53],"Thus,":[54],"multi-domain":[56],"prediction":[59],"problem":[60,127],"can":[61,123,151],"be":[62,152],"converted":[63],"into":[64,143],"multi-instance":[65,81],"multi-label":[66,82,126],"(MIML)":[67],"learning":[68,114],"tasks.":[69],"this":[71],"paper,":[72],"we":[73,93],"propose":[74],"novel":[76],"ensemble":[77],"MIML":[78],"algorithm":[79,176],"called":[80],"randomized":[83],"clustering":[84,99,117],"forest":[85],"(MIMLRC-Forest)":[86],"for":[87,158],"prediction.":[90,161],"MIMLRC-Forest,":[92],"develop":[94],"set":[96],"hierarchical":[98,121],"trees":[100],"conduct":[102],"label":[104,132,149],"transfer":[105],"mechanism":[106],"to":[107],"identify":[108],"relevant":[110],"labels":[112,142,157],"process.":[115],"The":[116],"tree":[118,156],"structure":[122],"handle":[124],"by":[128,138,154],"exploiting":[129],"more":[130],"discriminable":[131,141],"concepts":[133],"at":[134],"higher-level":[135],"nodes":[136],"transferring":[139],"less":[140],"lower-level":[145],"nodes.":[146],"Then,":[147],"dependency":[150],"computed":[153],"aggregating":[155],"Extensive":[162],"experiments":[163],"on":[164],"five":[165],"real-world":[166],"data":[168],"sets":[169],"show":[170],"effectiveness":[172],"proposed":[175],"compared":[177],"several":[179],"state-of-the-art":[180],"baselines,":[181],"including":[182],"MIMLSVM,":[183],"MIMLNN,":[184],"MIML-kNN,":[185],"EnMIMLNN,":[186],"M3MIML.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
