{"id":"https://openalex.org/W2808071711","doi":"https://doi.org/10.1109/jbhi.2018.2845866","title":"Protein\u2013Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine","display_name":"Protein\u2013Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine","publication_year":2018,"publication_date":"2018-06-12","ids":{"openalex":"https://openalex.org/W2808071711","doi":"https://doi.org/10.1109/jbhi.2018.2845866","mag":"2808071711","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994278"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2018.2845866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2845866","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/137162/2/Protein-protein%20Interactions%20Prediction%20via%20Multimodal%20Deep%20Polynomial%20Network%20and%20Regularized%20Extreme%20Learning%20Machine.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080487552","display_name":"Haijun Lei","orcid":"https://orcid.org/0000-0001-5325-5400"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijun Lei","raw_affiliation_strings":["School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110763874","display_name":"Yuting Wen","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Wen","raw_affiliation_strings":["School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","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":"Zhuhong You","raw_affiliation_strings":["Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Science, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Science, Urumqi, China","institution_ids":["https://openalex.org/I4210106108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042305251","display_name":"Ahmed Elazab","orcid":"https://orcid.org/0000-0002-6110-7886"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ahmed Elazab","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6110-7886","affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101454678","display_name":"E.C. Tan","orcid":"https://orcid.org/0000-0001-8932-2118"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ee-Leng Tan","raw_affiliation_strings":["School of Electronic and Electric Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Electric Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101490935","display_name":"Yujia Zhao","orcid":"https://orcid.org/0000-0002-7186-1727"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Zhao","raw_affiliation_strings":["School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001212991","display_name":"Baiying Lei","orcid":"https://orcid.org/0000-0002-3087-2550"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiying Lei","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3087-2550","affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8044,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.85603552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"3","first_page":"1290","last_page":"1303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9951000213623047,"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":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.7206169366836548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6668030023574829},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.656134307384491},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5860569477081299},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5515060424804688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5380328297615051},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5124223828315735},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49639612436294556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4563087522983551},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4409182369709015},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42608579993247986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11568695306777954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206169366836548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6668030023574829},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.656134307384491},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5860569477081299},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5515060424804688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5380328297615051},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5124223828315735},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49639612436294556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4563087522983551},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4409182369709015},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42608579993247986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11568695306777954},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D015003","descriptor_name":"Yeasts","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D015003","descriptor_name":"Yeasts","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D015003","descriptor_name":"Yeasts","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016480","descriptor_name":"Helicobacter pylori","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D016480","descriptor_name":"Helicobacter pylori","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D016480","descriptor_name":"Helicobacter pylori","qualifier_ui":"Q000737","qualifier_name":"chemistry","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":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":"D060066","descriptor_name":"Protein Interaction Maps","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":false},{"descriptor_ui":"D060066","descriptor_name":"Protein Interaction Maps","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2018.2845866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2845866","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:29994278","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994278","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 journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:dr.ntu.edu.sg:10356/137162","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/137162","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/137162/2/Protein-protein%20Interactions%20Prediction%20via%20Multimodal%20Deep%20Polynomial%20Network%20and%20Regularized%20Extreme%20Learning%20Machine.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/137162","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/137162","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/137162/2/Protein-protein%20Interactions%20Prediction%20via%20Multimodal%20Deep%20Polynomial%20Network%20and%20Regularized%20Extreme%20Learning%20Machine.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3856963022","display_name":null,"funder_award_id":"2016A030313047","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4528987292","display_name":null,"funder_award_id":"JCYJ20170818094109846","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6580441573","display_name":null,"funder_award_id":"JCYJ20170818142347251","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8017680901","display_name":null,"funder_award_id":"2017A030313377","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808071711.pdf","grobid_xml":"https://content.openalex.org/works/W2808071711.grobid-xml"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W76924599","https://openalex.org/W108223363","https://openalex.org/W1526092162","https://openalex.org/W1538131130","https://openalex.org/W1886978693","https://openalex.org/W1903029394","https://openalex.org/W1963916671","https://openalex.org/W1980132690","https://openalex.org/W1982267716","https://openalex.org/W1988930390","https://openalex.org/W1988937703","https://openalex.org/W2002370809","https://openalex.org/W2017237939","https://openalex.org/W2032984787","https://openalex.org/W2044523575","https://openalex.org/W2063231296","https://openalex.org/W2072128103","https://openalex.org/W2073301055","https://openalex.org/W2078162414","https://openalex.org/W2081489378","https://openalex.org/W2084619201","https://openalex.org/W2089727703","https://openalex.org/W2097366995","https://openalex.org/W2101181377","https://openalex.org/W2102380305","https://openalex.org/W2102605133","https://openalex.org/W2111072639","https://openalex.org/W2112322820","https://openalex.org/W2116089841","https://openalex.org/W2117130368","https://openalex.org/W2120973253","https://openalex.org/W2132582966","https://openalex.org/W2136922672","https://openalex.org/W2139427956","https://openalex.org/W2143210482","https://openalex.org/W2150452800","https://openalex.org/W2152705149","https://openalex.org/W2162392441","https://openalex.org/W2163605009","https://openalex.org/W2167869241","https://openalex.org/W2167982865","https://openalex.org/W2169976759","https://openalex.org/W2286206973","https://openalex.org/W2288062769","https://openalex.org/W2294798173","https://openalex.org/W2340589369","https://openalex.org/W2341106171","https://openalex.org/W2344144945","https://openalex.org/W2345010043","https://openalex.org/W2395789799","https://openalex.org/W2398196955","https://openalex.org/W2405065882","https://openalex.org/W2421133685","https://openalex.org/W2513563526","https://openalex.org/W2515917241","https://openalex.org/W2524367868","https://openalex.org/W2524947832","https://openalex.org/W2526285516","https://openalex.org/W2553191729","https://openalex.org/W2565016775","https://openalex.org/W2574038793","https://openalex.org/W2606436201","https://openalex.org/W2614818206","https://openalex.org/W2615272157","https://openalex.org/W2618530766","https://openalex.org/W2626668030","https://openalex.org/W2751555794","https://openalex.org/W2760858522","https://openalex.org/W2763434300","https://openalex.org/W2765158981","https://openalex.org/W2898519191","https://openalex.org/W2916288174","https://openalex.org/W2919115771","https://openalex.org/W4231109964","https://openalex.org/W4246393709","https://openalex.org/W4285719527","https://openalex.org/W6603110430","https://openalex.org/W6604332010","https://openalex.org/W6631467774","https://openalex.org/W6632100814","https://openalex.org/W6674755931","https://openalex.org/W6713638429","https://openalex.org/W6727474957","https://openalex.org/W6745737107"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3185179407","https://openalex.org/W3014300295","https://openalex.org/W2946016983"],"abstract_inverted_index":{"Predicting":[0],"the":[1,64,91,107,122,141],"protein-protein":[2],"interactions":[3],"(PPIs)":[4],"has":[5],"played":[6],"an":[7],"important":[8],"role":[9],"in":[10,121],"many":[11],"applications.":[12],"Hence,":[13],"a":[14,59,71,88,127],"novel":[15],"computational":[16],"method":[17,137,162,174],"for":[18],"PPIs":[19,24],"prediction":[20,83,184],"is":[21,46,138],"highly":[22],"desirable.":[23],"endow":[25],"with":[26],"protein":[27,37,96],"amino":[28],"acid":[29],"mutation":[30],"rate":[31],"and":[32,40,111,148,150,157,181],"two":[33],"physicochemical":[34],"properties":[35],"of":[36,87,118,144,154,178],"(e.g.,":[38],"hydrophobicity":[39],"hydrophilicity).":[41],"Deep":[42],"polynomial":[43],"network":[44],"(DPN)":[45],"well-suited":[47],"to":[48,76,81,101,132],"integrate":[49,78],"these":[50,79],"modalities":[51,80],"since":[52],"it":[53],"can":[54],"represent":[55],"any":[56],"function":[57],"on":[58,140,167,175],"finite":[60],"sample":[61],"dataset":[62,143],"via":[63],"supervised":[65],"deep":[66],"learning":[67,130],"algorithm.":[68],"We":[69,125],"propose":[70],"multimodal":[72],"DPN":[73,99,123],"(MDPN)":[74],"algorithm":[75],"effectively":[77],"enhance":[82],"performance.":[84],"MDPN":[85],"consists":[86],"two-stage":[89],"DPN,":[90],"first":[92],"stage":[93,109],"feeds":[94],"multiple":[95],"features":[97,113,120],"into":[98],"encoding":[100],"obtain":[102,182],"high-level":[103,119],"feature":[104],"representation":[105],"while":[106],"second":[108],"fuses":[110],"learns":[112],"by":[114],"cascading":[115],"three":[116,176],"types":[117],"encoding.":[124],"employ":[126],"regularized":[128],"extreme":[129],"machine":[131],"predict":[133],"PPIs.":[134],"The":[135,160],"proposed":[136,161],"tested":[139],"public":[142],"H.":[145],"pylori,":[146],"Human,":[147],"Yeast":[149],"achieves":[151,164],"average":[152],"accuracies":[153,166],"97.87%,":[155],"99.90%,":[156],"98.11%,":[158],"respectively.":[159],"also":[163],"good":[165],"other":[168],"datasets.":[169],"Furthermore,":[170],"we":[171],"test":[172],"our":[173],"kinds":[177],"PPI":[179],"networks":[180],"superior":[183],"results.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}