{"id":"https://openalex.org/W2161955763","doi":"https://doi.org/10.1186/1471-2105-14-s3-s8","title":"MS-k NN: protein function prediction by integrating multiple data sources","display_name":"MS-k NN: protein function prediction by integrating multiple data sources","publication_year":2013,"publication_date":"2013-02-01","ids":{"openalex":"https://openalex.org/W2161955763","doi":"https://doi.org/10.1186/1471-2105-14-s3-s8","mag":"2161955763","pmid":"https://pubmed.ncbi.nlm.nih.gov/23514608"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-14-s3-s8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s3-s8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-14-S3-S8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-14-S3-S8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069308334","display_name":"Liang Lan","orcid":"https://orcid.org/0000-0002-0427-977X"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Lan","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, USA","Department of Computer and Information Sciences, Temple University, Philadelphia, PA, 19122, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, 19122, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082498217","display_name":"Nemanja Djuric","orcid":"https://orcid.org/0000-0002-6502-7891"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nemanja Djuric","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, PA, 19122, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, 19122, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043824291","display_name":"Yuhong Guo","orcid":"https://orcid.org/0000-0002-7621-342X"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhong Guo","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, PA, 19122, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, 19122, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059847153","display_name":"Slobodan Vu\u010deti\u0107","orcid":"https://orcid.org/0000-0001-5884-6293"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Slobodan Vucetic","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, PA, 19122, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, 19122, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059847153"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":3.7403,"has_fulltext":true,"cited_by_count":105,"citation_normalized_percentile":{"value":0.94043543,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"14","issue":"S3","first_page":"S8","last_page":"S8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9035000205039978,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9035000205039978,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.03929999843239784,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.03849999979138374,"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":0.7841598987579346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6695194840431213},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6496385335922241},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6157699823379517},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5337613224983215},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.49478787183761597},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4623492956161499},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4492208659648895},{"id":"https://openalex.org/keywords/gene-ontology","display_name":"Gene ontology","score":0.438967227935791},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.39745914936065674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3469906449317932},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3346571922302246},{"id":"https://openalex.org/keywords/protein-function","display_name":"Protein function","score":0.2567893862724304},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.23589596152305603},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1582064926624298},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12492027878761292},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.11480966210365295},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.0942612886428833}],"concepts":[{"id":"https://openalex.org/C207060522","wikidata":"https://www.wikidata.org/wiki/Q7251473","display_name":"Protein function prediction","level":4,"score":0.7841598987579346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6695194840431213},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6496385335922241},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6157699823379517},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5337613224983215},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.49478787183761597},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4623492956161499},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4492208659648895},{"id":"https://openalex.org/C2987395477","wikidata":"https://www.wikidata.org/wiki/Q135085","display_name":"Gene ontology","level":4,"score":0.438967227935791},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.39745914936065674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3469906449317932},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3346571922302246},{"id":"https://openalex.org/C2986374874","wikidata":"https://www.wikidata.org/wiki/Q8054","display_name":"Protein function","level":3,"score":0.2567893862724304},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.23589596152305603},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1582064926624298},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12492027878761292},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.11480966210365295},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0942612886428833},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2105-14-s3-s8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s3-s8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-14-S3-S8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:23514608","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23514608","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:ed443511b3694526b1a0cd91dd1d7a11","is_oa":false,"landing_page_url":"https://doaj.org/article/ed443511b3694526b1a0cd91dd1d7a11","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 14, Iss Suppl 3, p S8 (2013)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:2592629","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3584913","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:scholarshare.temple.edu:20.500.12613/5407","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12613/5407","pdf_url":null,"source":{"id":"https://openalex.org/S4306402624","display_name":"TUScholarShare (Temple University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84392919","host_organization_name":"Temple University","host_organization_lineage":["https://openalex.org/I84392919"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-14-s3-s8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s3-s8","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-14-S3-S8","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4776688778","display_name":"CAREER: Memory-Constrained Predictive Data Mining","funder_award_id":"0546155","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2161955763.pdf","grobid_xml":"https://content.openalex.org/works/W2161955763.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1486817521","https://openalex.org/W1647729745","https://openalex.org/W2056780622","https://openalex.org/W2082380079","https://openalex.org/W2090766471","https://openalex.org/W2102794349","https://openalex.org/W2103017472","https://openalex.org/W2119027485","https://openalex.org/W2119043225","https://openalex.org/W2120688086","https://openalex.org/W2128036349","https://openalex.org/W2150926065","https://openalex.org/W2155440340","https://openalex.org/W2156909104","https://openalex.org/W2158714788","https://openalex.org/W2160875291","https://openalex.org/W2167318540","https://openalex.org/W2912485311"],"related_works":["https://openalex.org/W3132344302","https://openalex.org/W2082380079","https://openalex.org/W2061838210","https://openalex.org/W2033366093","https://openalex.org/W2039416962","https://openalex.org/W2239875923","https://openalex.org/W3104092632","https://openalex.org/W2060079687","https://openalex.org/W2411047100","https://openalex.org/W2143801201"],"abstract_inverted_index":{"BACKGROUND:":[0],"Protein":[1],"function":[2,60,80,164,301],"determination":[3,13],"is":[4,17,26,293,305,318],"a":[5,67,311],"key":[6],"challenge":[7],"in":[8,111,139],"the":[9,29,53,96,109,112,146,155,196,221,252,268,289],"post-genomic":[10],"era.":[11],"Experimental":[12],"of":[14,38,66,74,84,114,118,159,166,209,234,251,314,324],"protein":[15,69,300,325],"functions":[16,44,309],"accurate,":[18],"but":[19],"time-consuming":[20],"and":[21,35,40,77,103,175,184,238,262,272,296],"resource-intensive.":[22],"A":[23],"cost-effective":[24],"alternative":[25],"to":[27,42,94,123,201,307,320],"use":[28],"known":[30],"information":[31],"about":[32],"sequence,":[33],"structure,":[34],"functional":[36],"properties":[37],"genes":[39],"proteins":[41,135,172,180,216,254],"predict":[43],"using":[45],"statistical":[46],"methods.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,89,127,283],"describe":[52],"Multi-Source":[54],"k-Nearest":[55],"Neighbor":[56],"(MS-kNN)":[57],"algorithm":[58,130,292],"for":[59,299],"prediction,":[61],"which":[62,240],"finds":[63],"k-nearest":[64,290],"neighbors":[65],"query":[68],"based":[70,242],"on":[71,131,207,214,244,280],"different":[72],"types":[73],"similarity":[75,97,148,246],"measures":[76],"predicts":[78],"its":[79,85],"by":[81,257,264],"weighted":[82],"averaging":[83],"neighbors'":[86],"functions.":[87],"Specifically,":[88],"used":[90],"3":[91,141,259],"data":[92,142,260,266],"sources":[93,323],"calculate":[95],"scores:":[98],"sequence":[99,147,245],"similarity,":[100],"protein-protein":[101],"interactions,":[102],"gene":[104],"expressions.":[105],"RESULTS:":[106],"We":[107],"report":[108],"results":[110],"context":[113],"2011":[115],"Critical":[116],"Assessment":[117],"Function":[119],"Annotation":[120],"(CAFA).":[121],"Prior":[122],"CAFA":[124,222],"submission":[125,223],"deadline,":[126],"evaluated":[128],"our":[129,281],"1,302":[132],"human":[133,170],"test":[134],"that":[136,217,226,233],"were":[137,173,187,218,241,255],"represented":[138,256],"all":[140,193,258],"sources.":[143],"Using":[144],"only":[145,249],"information,":[149],"MS-kNN":[150,228,274],"had":[151],"term-based":[152],"Area":[153],"Under":[154],"Curve":[156],"(AUC)":[157],"accuracy":[158,229],"Gene":[160],"Ontology":[161],"(GO)":[162],"molecular":[163],"predictions":[165,191],"0.728":[167],"when":[168,177],"7,412":[169],"training":[171,179],"used,":[174],"0.819":[176],"35,622":[178],"from":[181,192],"multiple":[182,322],"eukaryotic":[183],"prokaryotic":[185],"organisms":[186],"used.":[188],"By":[189],"aggregating":[190],"three":[194],"sources,":[195,261,267],"AUC":[197],"was":[198,205,230,275],"further":[199],"improved":[200],"0.848.":[202],"Similar":[203],"result":[204],"observed":[206],"prediction":[208],"GO":[210],"biological":[211],"processes.":[212],"Testing":[213],"595":[215,253],"annotated":[219],"after":[220],"deadline":[224],"showed":[225],"overall":[227],"higher":[231],"than":[232],"baseline":[235],"algorithms":[236],"Gotcha":[237],"BLAST,":[239],"solely":[243],"information.":[247,326],"Since":[248],"10":[250],"66":[263],"two":[265],"difference":[269],"between":[270],"3-source":[271],"one-source":[273],"rather":[276],"small.":[277],"CONCLUSIONS:":[278],"Based":[279],"results,":[282],"have":[284],"several":[285],"useful":[286],"insights:":[287],"(1)":[288],"neighbor":[291],"an":[294],"efficient":[295],"effective":[297],"model":[298],"prediction;":[302],"(2)":[303],"it":[304,317],"beneficial":[306],"transfer":[308],"across":[310],"wide":[312],"range":[313],"organisms;":[315],"(3)":[316],"helpful":[319],"integrate":[321]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":4}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
