{"id":"https://openalex.org/W1969387993","doi":"https://doi.org/10.1186/1471-2105-9-s1-s3","title":"Exploiting likely-positive and unlabeled data to improve the identification of protein-protein interaction articles","display_name":"Exploiting likely-positive and unlabeled data to improve the identification of protein-protein interaction articles","publication_year":2008,"publication_date":"2008-02-01","ids":{"openalex":"https://openalex.org/W1969387993","doi":"https://doi.org/10.1186/1471-2105-9-s1-s3","mag":"1969387993","pmid":"https://pubmed.ncbi.nlm.nih.gov/18315856"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-9-s1-s3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-9-s1-s3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-S1-S3","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/10.1186/1471-2105-9-S1-S3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030771512","display_name":"Richard Tzong\u2010Han Tsai","orcid":"https://orcid.org/0000-0003-0513-107X"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Richard Tzong-Han Tsai","raw_affiliation_strings":["Department of Computer Science and Engineering, Yuan Ze University, Chung-Li, Taoyuan 32003, Taiwan, R.O.C. thtsai@saturn.yzu.edu.tw","Department of Computer Science and Engineering, Yuan Ze University, Chung-Li, Taoyuan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Yuan Ze University, Chung-Li, Taoyuan 32003, Taiwan, R.O.C. thtsai@saturn.yzu.edu.tw","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Yuan Ze University, Chung-Li, Taoyuan, R.O.C","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037143078","display_name":"Hsi-Chuan Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsi-Chuan Hung","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Nankang, Taipei, 115, Taiwan, R.O.C","Institute of Information Science, Academia Sinica, Nankang, Taipei, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nankang, Taipei, 115, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nankang, Taipei, R.O.C","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037362113","display_name":"Hong-Jie Dai","orcid":"https://orcid.org/0000-0002-1516-7255"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Jie Dai","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Nankang, Taipei, 115, Taiwan, R.O.C","Institute of Information Science, Academia Sinica, Nankang, Taipei, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nankang, Taipei, 115, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nankang, Taipei, R.O.C","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050700457","display_name":"Yi-Wen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Wen Lin","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Nankang, Taipei, 115, Taiwan, R.O.C","Institute of Information Science, Academia Sinica, Nankang, Taipei, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nankang, Taipei, 115, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nankang, Taipei, R.O.C","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119558606","display_name":"Wen\u2212Lian Hsu","orcid":"https://orcid.org/0000-0001-7061-3513"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wen-Lian Hsu","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Nankang, Taipei, 115, Taiwan, R.O.C","Institute of Information Science, Academia Sinica, Nankang, Taipei, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nankang, Taipei, 115, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nankang, Taipei, R.O.C","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030771512","https://openalex.org/A5119558606"],"corresponding_institution_ids":["https://openalex.org/I4210098366","https://openalex.org/I84653119","https://openalex.org/I99908691"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":2.1061,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.86285301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"S1","first_page":"S3","last_page":"S3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9559000134468079,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9559000134468079,"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":0.02370000071823597,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.00419999985024333,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7841221690177917},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6102575063705444},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6047924160957336},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5862281322479248},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5656225681304932},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4733414947986603},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45249882340431213},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4391908049583435},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4383113384246826},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41703659296035767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3767111301422119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7841221690177917},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6102575063705444},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6047924160957336},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5862281322479248},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5656225681304932},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4733414947986603},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45249882340431213},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4391908049583435},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4383113384246826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41703659296035767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3767111301422119},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000043","descriptor_name":"Abstracting and Indexing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000043","descriptor_name":"Abstracting and Indexing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000043","descriptor_name":"Abstracting and Indexing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003628","descriptor_name":"Database Management Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003628","descriptor_name":"Database Management Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003628","descriptor_name":"Database Management Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004282","descriptor_name":"Documentation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004282","descriptor_name":"Documentation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004282","descriptor_name":"Documentation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010506","descriptor_name":"Periodicals as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010506","descriptor_name":"Periodicals as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010506","descriptor_name":"Periodicals as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","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":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"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}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-9-s1-s3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-9-s1-s3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-S1-S3","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:18315856","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18315856","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:e15ed15ea9cc4b5d8102250977ed4384","is_oa":true,"landing_page_url":"https://doaj.org/article/e15ed15ea9cc4b5d8102250977ed4384","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 9, Iss Suppl 1, p S3 (2008)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:2259404","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2259404","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:10.1186/1471-2105-9-s1-s3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-9-s1-s3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-S1-S3","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7996248560","display_name":null,"funder_award_id":"NSC95","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320321041","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1969387993.pdf","grobid_xml":"https://content.openalex.org/works/W1969387993.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1486854136","https://openalex.org/W1487016832","https://openalex.org/W1601740268","https://openalex.org/W1861993554","https://openalex.org/W1977186059","https://openalex.org/W1982428412","https://openalex.org/W1983453172","https://openalex.org/W1999117234","https://openalex.org/W2063389953","https://openalex.org/W2085030399","https://openalex.org/W2104080300","https://openalex.org/W2104768328","https://openalex.org/W2109070394","https://openalex.org/W2113743670","https://openalex.org/W2120433106","https://openalex.org/W2123280311","https://openalex.org/W2131904035","https://openalex.org/W2134672568","https://openalex.org/W2139259976","https://openalex.org/W2149684865","https://openalex.org/W2150934340","https://openalex.org/W2155320925","https://openalex.org/W2155723007","https://openalex.org/W2157825442","https://openalex.org/W2163980860","https://openalex.org/W4230856572","https://openalex.org/W4235764643","https://openalex.org/W4255855797"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W2017917301","https://openalex.org/W1973723221","https://openalex.org/W2150136235","https://openalex.org/W2041353081","https://openalex.org/W2581240705"],"abstract_inverted_index":{"BACKGROUND:":[0],"Experimentally":[1],"verified":[2],"protein-protein":[3],"interactions":[4],"(PPI)":[5],"cannot":[6],"be":[7,25,360],"easily":[8],"retrieved":[9],"by":[10,28,41,235],"researchers":[11],"unless":[12,136],"they":[13,61],"are":[14,73,153],"stored":[15],"in":[16,108,277,350],"PPI":[17,45,65,98,213,297],"databases.":[18,124],"The":[19],"curation":[20],"of":[21,70,116,195,211,273,287,346],"such":[22,122,158,167],"databases":[23,66,77,91],"can":[24],"made":[26],"faster":[27],"ranking":[29,239,307],"newly-published":[30],"articles'":[31],"relevance":[32],"to":[33,112,149,165,178,294,359],"PPI,":[34],"a":[35,43,114,296],"task":[36],"which":[37,196,334],"we":[38,175,188,216],"approach":[39],"here":[40],"designing":[42],"machine-learning-based":[44],"classifier.":[46],"All":[47],"classifiers":[48],"require":[49],"labeled":[50,55,71,292],"data,":[51,129],"and":[52,183,265,268,290],"the":[53,58,79,89,96,101,133,191,209,221,251,274,278,285,341,347,361],"more":[54,59],"data":[56,82,120,139,145,169,231,293],"available,":[57,74],"reliable":[60],"become.":[62],"Although":[63],"many":[64],"with":[67],"large":[68],"numbers":[69],"articles":[72],"incorporating":[75],"these":[76,180],"into":[78],"base":[80,102],"training":[81,103],"may":[83,92],"actually":[84],"reduce":[85],"classification":[86,134,299],"performance":[87,210],"since":[88],"supplementary":[90,123],"not":[93,339],"annotate":[94],"exactly":[95],"same":[97],"types":[99],"as":[100],"data.":[104,173,185],"Our":[105,225,241,259,282,301,329,354],"first":[106],"goal":[107],"this":[109],"paper":[110],"is":[111,140,146,164,199,304,313],"find":[113],"method":[115],"selecting":[117],"likely":[118,127,181,291],"positive":[119,128,182],"from":[121,170],"Only":[125],"extracting":[126],"however,":[130],"will":[131],"bias":[132],"model":[135,261,303,312],"sufficient":[137],"negative":[138,144,168,184],"also":[141,243],"added.":[142],"Unfortunately,":[143],"very":[147],"hard":[148],"obtain":[150],"because":[151],"there":[152],"no":[154],"resources":[155],"that":[156,228,245,322,337],"compile":[157],"information.":[159],"Therefore,":[160],"our":[161,212,246,310,319],"second":[162],"aim":[163],"select":[166],"unlabeled":[171,289],"PubMed":[172],"Thirdly,":[174],"explore":[176],"how":[177],"exploit":[179],"And":[186],"lastly,":[187],"look":[189],"at":[190],"somewhat":[192],"unrelated":[193],"question":[194],"term-weighting":[197,248],"scheme":[198,249],"most":[200,362],"effective":[201,363],"for":[202,306,315],"identifying":[203],"PPI-related":[204],"articles.":[205],"RESULTS:":[206],"To":[207],"evaluate":[208],"text":[214,298],"classifier,":[215],"conducted":[217],"experiments":[218,242,283],"based":[219],"on":[220],"BioCreAtIvE-II":[222],"IAS":[223,279],"dataset.":[224],"results":[226,320,356],"show":[227,244,357],"adding":[229],"likely-labeled":[230],"generally":[232],"increases":[233],"AUC":[234,253,266],"3~6%,":[236],"indicating":[237],"better":[238,314],"ability.":[240],"newly-proposed":[247,330],"has":[250],"highest":[252],"among":[254,364],"all":[255],"common":[256],"weighting":[257,324,331,352,368],"schemes.":[258,353,369],"final":[260],"achieves":[262],"an":[263],"F-measure":[264],"2.9%":[267],"5.0%":[269],"higher":[270],"than":[271],"those":[272],"top-ranking":[275],"system":[276],"challenge.":[280],"CONCLUSION:":[281],"demonstrate":[284],"effectiveness":[286],"integrating":[288],"augment":[295],"system.":[300],"mixed":[302],"suitable":[305],"purposes":[308],"whereas":[309],"hierarchical":[311],"filtering.":[316],"In":[317],"addition,":[318],"indicate":[321],"supervised":[323],"schemes":[325],"outperform":[326],"unsupervised":[327],"ones.":[328],"scheme,":[332],"TFBRF,":[333],"considers":[335],"documents":[336],"do":[338],"contain":[340],"target":[342],"word,":[343],"avoids":[344],"some":[345],"biases":[348],"found":[349],"traditional":[351],"experiment":[355],"TFBRF":[358],"several":[365],"other":[366],"top":[367]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":6}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
