{"id":"https://openalex.org/W2012672486","doi":"https://doi.org/10.1186/1471-2105-12-44","title":"Gene ontology based transfer learning for protein subcellular localization","display_name":"Gene ontology based transfer learning for protein subcellular localization","publication_year":2011,"publication_date":"2011-02-02","ids":{"openalex":"https://openalex.org/W2012672486","doi":"https://doi.org/10.1186/1471-2105-12-44","mag":"2012672486","pmid":"https://pubmed.ncbi.nlm.nih.gov/21284890"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-12-44","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-44","pdf_url":"https://link.springer.com/content/pdf/10.1186/1471-2105-12-44.pdf","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://link.springer.com/content/pdf/10.1186/1471-2105-12-44.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063476392","display_name":"Suyu Mei","orcid":"https://orcid.org/0000-0002-9701-266X"},"institutions":[{"id":"https://openalex.org/I32399674","display_name":"Shenyang Normal University","ror":"https://ror.org/05cdfgm80","country_code":"CN","type":"education","lineage":["https://openalex.org/I32399674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Suyu Mei","raw_affiliation_strings":["Software College, Shenyang Normal University, Shenyang, PR China. 061021053@fudan.edu.cn","Software College, Shenyang Normal University, Shenyang, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software College, Shenyang Normal University, Shenyang, PR China. 061021053@fudan.edu.cn","institution_ids":["https://openalex.org/I32399674"]},{"raw_affiliation_string":"Software College, Shenyang Normal University, Shenyang, PR China","institution_ids":["https://openalex.org/I32399674"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang Fei","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Fei","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, PR China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017862559","display_name":"Shuigeng Zhou","orcid":"https://orcid.org/0000-0002-1949-2768"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuigeng Zhou","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, PR China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063476392"],"corresponding_institution_ids":["https://openalex.org/I32399674"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":4.5244,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.95561248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"12","issue":"1","first_page":"44","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9998999834060669,"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":0.9998999834060669,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9991000294685364,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9937000274658203,"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/discriminative-model","display_name":"Discriminative model","score":0.7584433555603027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6338915824890137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5437771081924438},{"id":"https://openalex.org/keywords/protein-function-prediction","display_name":"Protein function prediction","score":0.4787699282169342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45454877614974976},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45016440749168396},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4446038603782654},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4351348578929901},{"id":"https://openalex.org/keywords/gene-ontology","display_name":"Gene ontology","score":0.41407376527786255},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33668625354766846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33183932304382324},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3005390763282776},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2913040518760681},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.16084301471710205},{"id":"https://openalex.org/keywords/protein-function","display_name":"Protein function","score":0.09559622406959534}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7584433555603027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6338915824890137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5437771081924438},{"id":"https://openalex.org/C207060522","wikidata":"https://www.wikidata.org/wiki/Q7251473","display_name":"Protein function prediction","level":4,"score":0.4787699282169342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45454877614974976},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45016440749168396},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4446038603782654},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4351348578929901},{"id":"https://openalex.org/C2987395477","wikidata":"https://www.wikidata.org/wiki/Q135085","display_name":"Gene ontology","level":4,"score":0.41407376527786255},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33668625354766846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33183932304382324},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3005390763282776},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2913040518760681},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.16084301471710205},{"id":"https://openalex.org/C2986374874","wikidata":"https://www.wikidata.org/wiki/Q8054","display_name":"Protein function","level":3,"score":0.09559622406959534},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","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":true},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-12-44","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-44","pdf_url":"https://link.springer.com/content/pdf/10.1186/1471-2105-12-44.pdf","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:21284890","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21284890","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:2e4eac36316f4698956e85892511d6cb","is_oa":false,"landing_page_url":"https://doaj.org/article/2e4eac36316f4698956e85892511d6cb","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 12, Iss 1, p 44 (2011)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3039576","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3039576","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-12-44","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-44","pdf_url":"https://link.springer.com/content/pdf/10.1186/1471-2105-12-44.pdf","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":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2012672486.pdf","grobid_xml":"https://content.openalex.org/works/W2012672486.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1958717431","https://openalex.org/W1966991202","https://openalex.org/W1967696966","https://openalex.org/W1976133477","https://openalex.org/W1976150052","https://openalex.org/W1977927254","https://openalex.org/W1980256262","https://openalex.org/W1981091069","https://openalex.org/W1982228765","https://openalex.org/W1982267716","https://openalex.org/W1991929674","https://openalex.org/W1992577925","https://openalex.org/W1992991025","https://openalex.org/W1993711987","https://openalex.org/W1995918845","https://openalex.org/W1997996819","https://openalex.org/W2000389657","https://openalex.org/W2003613304","https://openalex.org/W2009758767","https://openalex.org/W2010671788","https://openalex.org/W2012686113","https://openalex.org/W2017277794","https://openalex.org/W2020194549","https://openalex.org/W2020816856","https://openalex.org/W2021357636","https://openalex.org/W2022366078","https://openalex.org/W2022657456","https://openalex.org/W2028635543","https://openalex.org/W2029580264","https://openalex.org/W2029904979","https://openalex.org/W2031215274","https://openalex.org/W2032764078","https://openalex.org/W2036154117","https://openalex.org/W2036248751","https://openalex.org/W2037838449","https://openalex.org/W2043976158","https://openalex.org/W2046691535","https://openalex.org/W2050974922","https://openalex.org/W2053963319","https://openalex.org/W2053979203","https://openalex.org/W2054068479","https://openalex.org/W2065795346","https://openalex.org/W2069389043","https://openalex.org/W2072120113","https://openalex.org/W2080915318","https://openalex.org/W2085022192","https://openalex.org/W2087548537","https://openalex.org/W2090035608","https://openalex.org/W2095780288","https://openalex.org/W2102424043","https://openalex.org/W2103017472","https://openalex.org/W2106141559","https://openalex.org/W2106503792","https://openalex.org/W2109867978","https://openalex.org/W2111127373","https://openalex.org/W2113077461","https://openalex.org/W2117019496","https://openalex.org/W2117436816","https://openalex.org/W2118101156","https://openalex.org/W2122181892","https://openalex.org/W2122838776","https://openalex.org/W2124331814","https://openalex.org/W2127103767","https://openalex.org/W2135628402","https://openalex.org/W2136930152","https://openalex.org/W2141885858","https://openalex.org/W2142013909","https://openalex.org/W2146620899","https://openalex.org/W2151192972","https://openalex.org/W2151375682","https://openalex.org/W2156168829","https://openalex.org/W2156940638","https://openalex.org/W2161024233","https://openalex.org/W2161444669","https://openalex.org/W2163884975","https://openalex.org/W2165698076","https://openalex.org/W2166699767","https://openalex.org/W2170960297","https://openalex.org/W2586983636","https://openalex.org/W2916193864","https://openalex.org/W4251933787","https://openalex.org/W4252166161"],"related_works":["https://openalex.org/W2082380079","https://openalex.org/W2061838210","https://openalex.org/W2033366093","https://openalex.org/W2039416962","https://openalex.org/W3132344302","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],"Prediction":[1],"of":[2,18,69,81,128,137,141,187,208,216,229,245,480],"protein":[3,46,83,91,124,160,231,283,467,495],"subcellular":[4,125,161,284,496],"localization":[5],"generally":[6,106],"involves":[7],"many":[8],"complex":[9],"factors,":[10],"and":[11,74,175,219,267,296,331,337,341,349,356,363,370,379,392,403,417,424,440,482,488,500,512],"using":[12],"only":[13],"one":[14,279],"or":[15,64,117],"two":[16,217,221,230],"aspects":[17,140,207],"data":[19,41],"information":[20],"may":[21,434],"not":[22,131],"tell":[23],"the":[24,78,109,133,138,166,172,184,188,205,213,227,242,246,251,263,299,302,318,443,465,468,478,507,515,520],"true":[25],"story.":[26],"For":[27,384],"this":[28,146],"reason,":[29],"some":[30],"recent":[31],"predictive":[32,99,492],"models":[33,100,105,304],"are":[34,194,257,274],"deliberately":[35],"designed":[36],"to":[37,53,60,97,171,182,211,225,239,262,437,442,462,464],"integrate":[38],"multiple":[39],"heterogeneous":[40],"sources":[42],"for":[43,123,158,282,494],"exploiting":[44],"multi-aspect":[45],"feature":[47,92],"information.":[48],"Gene":[49,151,455],"ontology,":[50],"hereinafter":[51],"referred":[52],"as":[54,409],"GO,":[55],"uses":[56],"a":[57,89,113,150,178],"controlled":[58],"vocabulary":[59],"depict":[61],"biological":[62,70],"molecules":[63],"gene":[65,85,142,209],"products":[66],"in":[67,101],"terms":[68,111,170,192],"process,":[71],"molecular":[72],"function":[73],"cellular":[75],"component.":[76],"With":[77],"rapid":[79],"expansion":[80],"annotated":[82],"sequences,":[84],"ontology":[86,210],"has":[87],"become":[88],"general":[90],"that":[93,193,250,311,506],"can":[94,130,476],"be":[95,435],"used":[96],"construct":[98],"computational":[102,255],"biology.":[103],"Existing":[104],"either":[107],"concatenated":[108],"GO":[110,169,191,202,214,431,509,516],"into":[112,278],"flat":[114],"binary":[115],"vector":[116],"applied":[118],"majority-vote":[119],"based":[120],"ensemble":[121],"learning":[122,180,452],"localization,":[126],"both":[127],"which":[129,475],"estimate":[132],"individual":[134],"discriminative":[135,243],"abilities":[136,244],"three":[139,201,206,291],"ontology.":[143],"RESULTS:":[144],"In":[145],"paper,":[147],"we":[148,446],"propose":[149],"Ontology":[152,456],"Based":[153,457],"Transfer":[154,458],"Learning":[155,459],"Model":[156],"(GO-TLM)":[157],"large-scale":[159],"localization.":[162,285,497],"The":[163,271],"model":[164,323,334,359,413],"transfers":[165],"signature-based":[167],"homologous":[168,473,486],"target":[173,444,466],"proteins,":[174,218,474,487],"further":[176],"constructs":[177],"reliable":[179],"system":[181,453],"reduce":[183,477],"adverse":[185],"affect":[186],"potential":[189],"false":[190],"resulted":[195],"from":[196,204],"evolutionary":[197],"divergence.":[198],"We":[199,233,286],"derive":[200,220],"kernels":[203,224,273,517],"measure":[212,226],"similarity":[215,228],"other":[222],"spectrum":[223],"sequences.":[232],"use":[234],"simple":[235],"non-parametric":[236],"cross":[237,307],"validation":[238,308,499],"explicitly":[240,449,513],"weigh":[241],"five":[247,272],"kernels,":[248],"such":[249],"time":[252],"&":[253],"space":[254],"complexities":[256],"greatly":[258],"reduced":[259],"when":[260],"compared":[261,410],"complicated":[264],"semi-definite":[265],"programming":[266],"semi-indefinite":[268],"linear":[269],"programming.":[270],"then":[275],"linearly":[276],"merged":[277],"single":[280],"kernel":[281,451],"evaluate":[287],"GO-TLM":[288,312,388],"performance":[289,493],"against":[290,317,322,333,358,411],"baseline":[292,303,319,412],"models:":[293,320],"MultiLoc,":[294],"MultiLoc-GO":[295,335,360,414],"Euk-mPLoc":[297,324],"on":[298,345,372,394],"benchmark":[300],"datasets":[301],"adopted.":[305],"5-fold":[306],"experiments":[309],"show":[310,505],"achieves":[313,389],"substantial":[314,328],"accuracy":[315,343,366,420],"improvement":[316],"80.38%":[321],"67.40%":[325],"with":[326,339,365,419],"12.98%":[327],"increase;":[329],"96.65%":[330],"96.27%":[332],"89.60%":[336],"89.60%,":[338],"7.05%":[340],"6.67%":[342],"increase":[344,367,421],"dataset":[346,350,373,376,380,395,399,404],"MultiLoc":[347,351],"plant":[348,397,401],"animal,":[352],"respectively;":[353],"97.14%,":[354],"95.90%":[355],"96.85%":[357],"83.70%,":[361],"90.10%":[362],"85.70%,":[364],"13.44%,":[368],"5.8%":[369],"11.15%":[371],"BaCelLoc":[374,377,381,385,396,400,405],"plant,":[375],"fungi":[378],"animal":[382,406],"respectively.":[383,426],"independent":[386,501],"sets,":[387],"81.25%,":[390],"80.45%":[391],"79.46%":[393],"holdout,":[398,407],"holdout":[402],"respectively,":[408],"76%,":[415],"60.00%":[416],"73.00%,":[418],"5.25%,":[422],"20.45%":[423],"6.46%,":[425],"CONCLUSIONS:":[427],"Since":[428],"direct":[429],"homology-based":[430,508],"term":[432,510],"transfer":[433,463,511],"prone":[436],"introducing":[438],"noise":[439],"outliers":[441,481],"protein,":[445],"design":[447],"an":[448],"weighted":[450],"(called":[454],"Model,":[460],"GO-TLM)":[461],"known":[469],"knowledge":[470,484],"about":[471],"related":[472],"risk":[479],"share":[483],"between":[485],"thus":[489],"achieve":[490],"better":[491],"Cross":[498],"test":[502],"experimental":[503],"results":[504],"weighing":[514],"substantially":[518],"improve":[519],"prediction":[521],"performance.":[522]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":8}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2016-06-24T00:00:00"}
