{"id":"https://openalex.org/W2005184685","doi":"https://doi.org/10.1145/2382936.2382962","title":"Protein function prediction using weak-label learning","display_name":"Protein function prediction using weak-label learning","publication_year":2012,"publication_date":"2012-10-07","ids":{"openalex":"https://openalex.org/W2005184685","doi":"https://doi.org/10.1145/2382936.2382962","mag":"2005184685"},"language":"en","primary_location":{"id":"doi:10.1145/2382936.2382962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382936.2382962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine","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/A5111946342","display_name":"Guoxian Yu","orcid":null},"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":"Guoxian Yu","raw_affiliation_strings":["South China Univ. of Tech., Guangzhou, China","South China University of Tech. Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Univ. of Tech., Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Tech. Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053425174","display_name":"Guoji Zhang","orcid":null},"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":"Guoji Zhang","raw_affiliation_strings":["South China Univ. of Tech., Guangzhou, China","South China University of Tech. Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Univ. of Tech., Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Tech. Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006581225","display_name":"Huzefa Rangwala","orcid":"https://orcid.org/0000-0003-0435-0035"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huzefa Rangwala","raw_affiliation_strings":["George Mason University, Fairfax, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090148962","display_name":"Carlotta Domeniconi","orcid":"https://orcid.org/0000-0003-2140-9596"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlotta Domeniconi","raw_affiliation_strings":["George Mason University, Fairfax, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"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":"Zhiwen Yu","raw_affiliation_strings":["South China Univ. of Tech., Guangzhou, China","South China University of Tech. Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Univ. of Tech., Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Tech. Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9998000264167786,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9998000264167786,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9944999814033508,"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/protein-function-prediction","display_name":"Protein function prediction","score":0.8321322202682495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6356240510940552},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6132962703704834},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5398828387260437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47982192039489746},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.44780290126800537},{"id":"https://openalex.org/keywords/protein-function","display_name":"Protein function","score":0.39836257696151733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38767901062965393},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2390139102935791},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.23586538434028625},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.17160430550575256}],"concepts":[{"id":"https://openalex.org/C207060522","wikidata":"https://www.wikidata.org/wiki/Q7251473","display_name":"Protein function prediction","level":4,"score":0.8321322202682495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6356240510940552},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6132962703704834},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5398828387260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47982192039489746},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.44780290126800537},{"id":"https://openalex.org/C2986374874","wikidata":"https://www.wikidata.org/wiki/Q8054","display_name":"Protein function","level":3,"score":0.39836257696151733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38767901062965393},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2390139102935791},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.23586538434028625},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.17160430550575256}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2382936.2382962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382936.2382962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.1200","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.1200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.gmu.edu/~carlotta/publications/ProWL_BCB.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3500629863","display_name":null,"funder_award_id":"IIS 0905117","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G8313839470","display_name":null,"funder_award_id":"6.10E+31","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/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W1486817521","https://openalex.org/W1976463269","https://openalex.org/W1980473701","https://openalex.org/W2019899889","https://openalex.org/W2028832892","https://openalex.org/W2035055162","https://openalex.org/W2082380079","https://openalex.org/W2094124219","https://openalex.org/W2096180769","https://openalex.org/W2103017472","https://openalex.org/W2108892946","https://openalex.org/W2118712128","https://openalex.org/W2120688086","https://openalex.org/W2137917513","https://openalex.org/W2138312771","https://openalex.org/W2140335411","https://openalex.org/W2148722247","https://openalex.org/W2154455818","https://openalex.org/W2155440340","https://openalex.org/W2166468869","https://openalex.org/W2166985665","https://openalex.org/W2170960297","https://openalex.org/W3029645440","https://openalex.org/W4293775970","https://openalex.org/W6602286067","https://openalex.org/W6681153989","https://openalex.org/W6682494755","https://openalex.org/W6684705368"],"related_works":["https://openalex.org/W2094822546","https://openalex.org/W4388708026","https://openalex.org/W1969080446","https://openalex.org/W3108941781","https://openalex.org/W1578069856","https://openalex.org/W2134206588","https://openalex.org/W2084200259","https://openalex.org/W2065993463","https://openalex.org/W2401071219","https://openalex.org/W2554237979"],"abstract_inverted_index":{"Protein":[0,73],"function":[1,130],"prediction":[2],"is":[3,15,61],"one":[4],"of":[5,21,47,68,84,94,109,128,146],"the":[6,10,29,48,56,65,92,97,110,126,144],"fundamental":[7],"issues":[8],"in":[9,40],"post-genomic":[11],"era.":[12],"Multi-label":[13],"learning":[14,25],"widely":[16],"used":[17],"for":[18,51],"predicting":[19],"functions":[20,50,60,93,118],"proteins.":[22],"Most":[23],"multi-label":[24],"methods":[26],"assume":[27],"that":[28,99,112],"proteins":[30,95,100],"with":[31,77],"annotation":[32,67],"do":[33],"not":[34],"have":[35,44,116],"any":[36],"missing":[37],"functions.":[38],"However,":[39],"practice,":[41],"we":[42,70],"may":[43],"a":[45,52,72,82,113],"subset":[46],"ground-truth":[49],"protein,":[53],"and":[54,81,89,138,148],"whether":[55],"protein":[57,114,129],"has":[58],"other":[59],"unknown.":[62],"To":[63],"complete":[64],"partial":[66],"proteins,":[69],"propose":[71],"Function":[74],"Prediction":[75],"method":[76],"Weak-label":[78],"Learning":[79],"(ProWL),":[80],"variant":[83],"ProWL":[85,88,147],"(ProWL-IF).":[86],"Both":[87],"ProWL-IF":[90,106],"replenish":[91],"under":[96],"assumption":[98],"are":[101],"partially":[102],"annotated.":[103],"In":[104],"addition,":[105],"takes":[107],"advantage":[108],"knowledge":[111],"cannot":[115],"certain":[117],"(called":[119],"irrelevant":[120],"functions),":[121],"which":[122],"can":[123],"further":[124],"boost":[125],"performance":[127],"prediction.":[131],"Our":[132],"experimental":[133],"results":[134],"on":[135],"protein-protein":[136],"interaction":[137],"gene":[139],"microarray":[140],"expression":[141],"benchmarks":[142],"validate":[143],"effectiveness":[145],"ProWL-IF.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}