{"id":"https://openalex.org/W2315196278","doi":"https://doi.org/10.1109/tcyb.2016.2524994","title":"Highly Efficient Framework for Predicting Interactions Between Proteins","display_name":"Highly Efficient Framework for Predicting Interactions Between Proteins","publication_year":2016,"publication_date":"2016-03-30","ids":{"openalex":"https://openalex.org/W2315196278","doi":"https://doi.org/10.1109/tcyb.2016.2524994","mag":"2315196278","pmid":"https://pubmed.ncbi.nlm.nih.gov/28113829"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2016.2524994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2524994","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Transactions on Cybernetics","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/A5019805735","display_name":"Zhu\u2010Hong You","orcid":"https://orcid.org/0000-0003-1266-2696"},"institutions":[{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu-Hong You","raw_affiliation_strings":["Chinese Academy of Science, Xinjiang Technical Institute of Physics and Chemistry, \u00dcr\u00fcmqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science, Xinjiang Technical Institute of Physics and Chemistry, \u00dcr\u00fcmqi, China","institution_ids":["https://openalex.org/I4210106108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["MO","US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","Institute of Systems Engineering, Macau University of Science and Technology, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Institute of Systems Engineering, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088955392","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-1348-5305"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100424064","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0001-8316-5289"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":23.8204,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.99461515,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"47","issue":"3","first_page":"731","last_page":"743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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":0.9932000041007996,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/kernel","display_name":"Kernel (algebra)","score":0.7633287310600281},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.7309987545013428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6999845504760742},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6918603777885437},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6499167680740356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5527676939964294},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.510558009147644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.509847104549408},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4847383201122284},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44862937927246094},{"id":"https://openalex.org/keywords/human-proteins","display_name":"Human proteins","score":0.42550474405288696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40794527530670166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33424365520477295},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1941933035850525},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18669730424880981},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11314442753791809},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11084327101707458}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7633287310600281},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.7309987545013428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6999845504760742},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6918603777885437},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6499167680740356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5527676939964294},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.510558009147644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.509847104549408},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4847383201122284},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44862937927246094},{"id":"https://openalex.org/C2911029443","wikidata":"https://www.wikidata.org/wiki/Q21296145","display_name":"Human proteins","level":3,"score":0.42550474405288696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40794527530670166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33424365520477295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1941933035850525},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18669730424880981},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11314442753791809},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11084327101707458},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"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":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025941","descriptor_name":"Protein Interaction Mapping","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":true},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2016.2524994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2524994","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:28113829","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28113829","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 transactions on cybernetics","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/64497","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/64497","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Article","raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3982830990","display_name":null,"funder_award_id":"106112015CDJXY180005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6610236737","display_name":"\u57fa\u4e8e\u96c6\u6210\u5b66\u4e60\u7684\u5168\u57fa\u56e0\u7ec4\u6c34\u5e73\u4e0a\u5927\u89c4\u6a21\u9ad8\u53ef\u4fe1\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\u7f51\u7edc\u6784\u5efa\u53ca\u5176\u529f\u80fd\u7814\u7a76","funder_award_id":"61373086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7441152539","display_name":null,"funder_award_id":"61401385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8010953061","display_name":null,"funder_award_id":"CMMI-1162482","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"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1472797403","https://openalex.org/W1492095519","https://openalex.org/W1575542444","https://openalex.org/W1804250401","https://openalex.org/W1821507858","https://openalex.org/W1847716059","https://openalex.org/W1884509322","https://openalex.org/W1970294022","https://openalex.org/W1978484841","https://openalex.org/W1980713635","https://openalex.org/W1981252300","https://openalex.org/W1982267716","https://openalex.org/W1987582651","https://openalex.org/W2002636666","https://openalex.org/W2007448777","https://openalex.org/W2008840001","https://openalex.org/W2009405916","https://openalex.org/W2011500554","https://openalex.org/W2013668940","https://openalex.org/W2021150359","https://openalex.org/W2024883193","https://openalex.org/W2026131661","https://openalex.org/W2027696333","https://openalex.org/W2029008895","https://openalex.org/W2029574260","https://openalex.org/W2032408510","https://openalex.org/W2033246310","https://openalex.org/W2039473152","https://openalex.org/W2040647667","https://openalex.org/W2042184006","https://openalex.org/W2056398894","https://openalex.org/W2065279209","https://openalex.org/W2067305633","https://openalex.org/W2075337064","https://openalex.org/W2075582876","https://openalex.org/W2084619201","https://openalex.org/W2085932691","https://openalex.org/W2089026157","https://openalex.org/W2097651291","https://openalex.org/W2099757081","https://openalex.org/W2104242071","https://openalex.org/W2108525635","https://openalex.org/W2109248504","https://openalex.org/W2111072639","https://openalex.org/W2111792695","https://openalex.org/W2113019448","https://openalex.org/W2119523409","https://openalex.org/W2119583098","https://openalex.org/W2122863289","https://openalex.org/W2123268478","https://openalex.org/W2123611499","https://openalex.org/W2126690563","https://openalex.org/W2129873023","https://openalex.org/W2130378394","https://openalex.org/W2136940180","https://openalex.org/W2136957665","https://openalex.org/W2140048706","https://openalex.org/W2140960822","https://openalex.org/W2147774652","https://openalex.org/W2148446997","https://openalex.org/W2150774511","https://openalex.org/W2152705149","https://openalex.org/W2153119881","https://openalex.org/W2153522384","https://openalex.org/W2155004936","https://openalex.org/W2156223899","https://openalex.org/W2157595416","https://openalex.org/W2164970287","https://openalex.org/W2167821759","https://openalex.org/W2167869241","https://openalex.org/W2278138779","https://openalex.org/W2304309600","https://openalex.org/W2333205336","https://openalex.org/W2340589369","https://openalex.org/W2340877487","https://openalex.org/W2354225344","https://openalex.org/W2472390602","https://openalex.org/W2952108874","https://openalex.org/W4233751197","https://openalex.org/W6628455238","https://openalex.org/W6704036016","https://openalex.org/W6720687426"],"related_works":["https://openalex.org/W2089892314","https://openalex.org/W1603091392","https://openalex.org/W4386075310","https://openalex.org/W2095626363","https://openalex.org/W2169565408","https://openalex.org/W2127229869","https://openalex.org/W3123056048","https://openalex.org/W2129978300","https://openalex.org/W2150638158","https://openalex.org/W2121506664"],"abstract_inverted_index":{"Protein-protein":[0],"interactions":[1,37],"(PPIs)":[2],"play":[3],"a":[4,12,52,67,83,118,139,164],"central":[5],"role":[6],"in":[7,38,152],"many":[8],"biological":[9],"processes.":[10],"Although":[11],"large":[13],"amount":[14],"of":[15,89,173],"human":[16,44,64,141],"PPI":[17,65,129,142],"data":[18],"has":[19,73,149],"been":[20],"generated":[21],"by":[22],"high-throughput":[23],"experimental":[24],"techniques,":[25],"they":[26],"are":[27,46],"very":[28],"limited":[29],"compared":[30],"to":[31,99,103,124],"the":[32,95,100,126,146,157,170],"estimated":[33],"130":[34],"000":[35],"protein":[36,80],"humans.":[39],"Hence,":[40,160],"automatic":[41,171],"methods":[42],"for":[43,62,128,169],"PPI-detection":[45],"highly":[47],"desired.":[48],"This":[49],"work":[50,162],"proposes":[51],"novel":[53],"framework,":[54],"i.e.,":[55],"Low-rank":[56],"approximation-kernel":[57],"Extreme":[58],"Learning":[59],"Machine":[60],"(LELM),":[61],"detecting":[63],"from":[66],"protein's":[68],"primary":[69],"sequences":[70],"automatically.":[71],"It":[72],"three":[74],"main":[75],"steps:":[76],"1)":[77],"mapping":[78],"each":[79],"sequence":[81],"into":[82],"matrix":[84,102],"built":[85],"on":[86,131,138],"all":[87],"kinds":[88],"adjacent":[90],"amino":[91],"acids;":[92],"2)":[93],"applying":[94],"low-rank":[96],"approximation":[97],"model":[98],"obtained":[101],"solve":[104],"its":[105,111],"lowest":[106,133],"rank":[107,134],"representation,":[108],"which":[109],"reflects":[110],"true":[112],"subspace":[113],"structures;":[114],"and":[115,154,166],"3)":[116],"utilizing":[117],"powerful":[119],"kernel":[120],"extreme":[121],"learning":[122],"machine":[123],"predict":[125],"probability":[127],"based":[130],"this":[132,161],"representation.":[135],"Experimental":[136],"results":[137],"large-scale":[140],"dataset":[143],"demonstrate":[144],"that":[145],"proposed":[147],"LELM":[148],"significant":[150],"advantages":[151],"accuracy":[153],"efficiency":[155],"over":[156],"state-of-art":[158],"approaches.":[159],"establishes":[163],"new":[165],"effective":[167],"way":[168],"detection":[172],"PPI.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}