{"id":"https://openalex.org/W2162392441","doi":"https://doi.org/10.1186/1471-2105-14-s8-s10","title":"Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis","display_name":"Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2162392441","doi":"https://doi.org/10.1186/1471-2105-14-s8-s10","mag":"2162392441","pmid":"https://pubmed.ncbi.nlm.nih.gov/23815620"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-14-s8-s10","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s8-s10","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-S8-S10","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/counter/pdf/10.1186/1471-2105-14-S8-S10","any_repository_has_fulltext":true},"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/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhu-Hong You","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China. zhuhongyou@gmail.com","College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China. zhuhongyou@gmail.com","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210152380"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101474410","display_name":"Yingke Lei","orcid":"https://orcid.org/0000-0003-4927-6772"},"institutions":[{"id":"https://openalex.org/I4210097119","display_name":"PLA Electronic Engineering Institute","ror":"https://ror.org/00z0n4g71","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210097119"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying-Ke Lei","raw_affiliation_strings":["Department of Information, Electronic Engineering Institute, Hefei, Anhui, 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information, Electronic Engineering Institute, Hefei, Anhui, 230601, China","institution_ids":["https://openalex.org/I4210097119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664608","display_name":"Lin Zhu","orcid":"https://orcid.org/0000-0001-9872-459X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhu","raw_affiliation_strings":["Department of Automation, Un iversity of Science and Technology of China, Hefei, Anhui, 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Un iversity of Science and Technology of China, Hefei, Anhui, 230601, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065943710","display_name":"Junfeng Xia","orcid":"https://orcid.org/0000-0003-3024-1705"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Xia","raw_affiliation_strings":["Institute of Health Sciences, Anhui University, Hefei, Anhui, 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Health Sciences, Anhui University, Hefei, Anhui, 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382568","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0003-4945-7725"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["The Advanced Research Institute of Intelligent Sensing Network, Tongji University, shanghai, 201804, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Advanced Research Institute of Intelligent Sensing Network, Tongji University, shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019805735"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210152380"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":11.4182,"has_fulltext":true,"cited_by_count":314,"citation_normalized_percentile":{"value":0.99116793,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"14","issue":"S8","first_page":"S10","last_page":"S10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.6248999834060669,"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":0.6248999834060669,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.23880000412464142,"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/T10044","display_name":"Protein Structure and Dynamics","score":0.02590000070631504,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7603185176849365},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7242467403411865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7075086832046509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6822707653045654},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6557578444480896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.58500736951828},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.529437780380249},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5131078958511353},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5042041540145874},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.47950416803359985},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4451165795326233},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4235304594039917},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4188675284385681},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40286487340927124},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2573547959327698}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7603185176849365},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7242467403411865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075086832046509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6822707653045654},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6557578444480896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.58500736951828},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.529437780380249},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5131078958511353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5042041540145874},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.47950416803359985},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4451165795326233},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4235304594039917},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4188675284385681},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40286487340927124},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2573547959327698},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016480","descriptor_name":"Helicobacter pylori","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016480","descriptor_name":"Helicobacter pylori","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016480","descriptor_name":"Helicobacter pylori","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D060066","descriptor_name":"Protein Interaction Maps","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060066","descriptor_name":"Protein Interaction Maps","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060066","descriptor_name":"Protein Interaction Maps","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:10.1186/1471-2105-14-s8-s10","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s8-s10","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-S8-S10","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:23815620","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23815620","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:europepmc.org:2655196","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3654889","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"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-14-s8-s10","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s8-s10","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-S8-S10","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G3205431995","display_name":"\u57fa\u4e8e\u7f51\u7edc\u62d3\u6251\u7ed3\u6784\u4fe1\u606f\u4e0e\u6570\u636e\u6574\u5408\u7684\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\u53ef\u4fe1\u5ea6\u8bc4\u4f30\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61102119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3634863875","display_name":"\u9762\u5411\u590d\u6742\u6570\u636e\u7684\u7a00\u758f\u6d41\u5f62\u5b66\u4e60\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61272333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3813916217","display_name":null,"funder_award_id":"2012M520929","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G381935712","display_name":"\u9762\u5411\u7269\u8054\u7f51\u7684\u670d\u52a1\u4e2d\u95f4\u4ef6\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61170077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5368559053","display_name":"\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\u4e0e\u529f\u80fd\u9884\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61133010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5682096352","display_name":null,"funder_award_id":"31071168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5748977933","display_name":"\u57fa\u4e8e\u83cc\u7fa4\u751f\u547d\u5468\u671f\u884c\u4e3a\u7684\u7fa4\u4f53\u667a\u80fd\u4f18\u5316\u6a21\u578b\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"71001072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6907828852","display_name":null,"funder_award_id":"61272269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8761776790","display_name":null,"funder_award_id":"61272339","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2162392441.pdf","grobid_xml":"https://content.openalex.org/works/W2162392441.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1506426676","https://openalex.org/W1963916671","https://openalex.org/W1981005463","https://openalex.org/W1982267716","https://openalex.org/W1986548159","https://openalex.org/W2013503778","https://openalex.org/W2026131661","https://openalex.org/W2029008895","https://openalex.org/W2030323492","https://openalex.org/W2033855745","https://openalex.org/W2037036397","https://openalex.org/W2069315453","https://openalex.org/W2078622091","https://openalex.org/W2084619201","https://openalex.org/W2090123586","https://openalex.org/W2091411809","https://openalex.org/W2105957448","https://openalex.org/W2108638497","https://openalex.org/W2111072639","https://openalex.org/W2116089841","https://openalex.org/W2116117181","https://openalex.org/W2117403572","https://openalex.org/W2118886215","https://openalex.org/W2134603844","https://openalex.org/W2135629480","https://openalex.org/W2137009853","https://openalex.org/W2138260443","https://openalex.org/W2139237500","https://openalex.org/W2143720865","https://openalex.org/W2147774652","https://openalex.org/W2150248355","https://openalex.org/W2150452800","https://openalex.org/W2152705149","https://openalex.org/W2154568261","https://openalex.org/W2155004936","https://openalex.org/W2167869241","https://openalex.org/W2170682402","https://openalex.org/W2594306580","https://openalex.org/W4301001114"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W2144004426","https://openalex.org/W2120164251","https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W2188759683","https://openalex.org/W4317376680","https://openalex.org/W3009797526","https://openalex.org/W4360777922","https://openalex.org/W3208169454"],"abstract_inverted_index":{"BACKGROUND:":[0],"Protein-protein":[1],"interactions":[2,101],"(PPIs)":[3],"play":[4],"crucial":[5],"roles":[6],"in":[7],"the":[8,16,49,55,104,110,118,149,179,189,196,202,213,239,254],"execution":[9],"of":[10,18,24,48,106,130,174,181,199,215],"various":[11],"cellular":[12],"processes":[13],"and":[14,53,64,70,79,162,187,264,273],"form":[15],"basis":[17],"biological":[19],"mechanisms.":[20],"Although":[21],"large":[22],"amount":[23],"PPIs":[25,60],"data":[26,198],"for":[27,58,267],"different":[28],"species":[29],"has":[30],"been":[31],"generated":[32],"by":[33,126,169,242],"high-throughput":[34],"experimental":[35,42,56],"techniques,":[36],"current":[37],"PPI":[38,51,197,269],"pairs":[39,115],"obtained":[40],"with":[41,209,225,270],"methods":[43,57,76],"cover":[44],"only":[45,102],"a":[46,87,166,261],"fraction":[47],"complete":[50],"networks,":[52],"further,":[54],"identifying":[59],"are":[61,219],"both":[62],"time-consuming":[63],"expensive.":[65],"Hence,":[66],"it":[67],"is":[68],"urgent":[69],"challenging":[71],"to":[72,77,98,147,221],"develop":[73],"automated":[74],"computational":[75],"efficiently":[78],"accurately":[80],"predict":[81,99],"PPIs.":[82],"RESULTS:":[83],"We":[84],"present":[85],"here":[86],"novel":[88],"hierarchical":[89],"PCA-EELM":[90,237,246],"(principal":[91],"component":[92],"analysis-ensemble":[93],"extreme":[94,157,175],"learning":[95,158,176],"machine)":[96],"model":[97],"protein-protein":[100],"using":[103,127],"information":[105],"protein":[107,114,131],"sequences.":[108],"In":[109],"proposed":[111,203,236,255],"method,":[112],"11188":[113],"retrieved":[116],"from":[117],"DIP":[119],"database":[120],"were":[121,160],"encoded":[122],"into":[123,165],"feature":[124,140,153],"vectors":[125],"four":[128],"kinds":[129],"sequences":[132],"information.":[133],"Focusing":[134],"on":[135,183,195],"dimension":[136],"reduction,":[137],"an":[138],"effective":[139],"extraction":[141],"method":[142,204,224,241],"PCA":[143],"was":[144],"then":[145,163],"employed":[146],"construct":[148],"most":[150],"discriminative":[151],"new":[152,262],"set.":[154],"Finally,":[155],"multiple":[156],"machines":[159],"trained":[161],"aggregated":[164],"consensus":[167],"classifier":[168],"majority":[170],"voting.":[171],"The":[172],"ensembling":[173],"machine":[177],"removes":[178],"dependence":[180],"results":[182,233],"initial":[184],"random":[185],"weights":[186],"improves":[188],"prediction":[190,207],"performance.":[191],"CONCLUSIONS:":[192],"When":[193],"performed":[194,220],"Saccharomyces":[200],"cerevisiae,":[201],"achieved":[205],"87.00%":[206],"accuracy":[208],"86.15%":[210],"sensitivity":[211],"at":[212],"precision":[214],"87.59%.":[216],"Extensive":[217],"experiments":[218],"compare":[222],"our":[223],"state-of-the-art":[226],"techniques":[227],"Support":[228],"Vector":[229],"Machine":[230],"(SVM).":[231],"Experimental":[232],"demonstrate":[234],"that":[235],"outperforms":[238],"SVM":[240],"5-fold":[243],"cross-validation.":[244],"Besides,":[245],"performs":[247],"faster":[248],"than":[249],"PCA-SVM":[250],"based":[251],"method.":[252],"Consequently,":[253],"approach":[256],"can":[257],"be":[258],"considered":[259],"as":[260],"promising":[263],"powerful":[265],"tools":[266],"predicting":[268],"excellent":[271],"performance":[272],"less":[274],"time.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":36},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":29},{"year":2017,"cited_by_count":33},{"year":2016,"cited_by_count":41},{"year":2015,"cited_by_count":26},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
