{"id":"https://openalex.org/W2998415747","doi":"https://doi.org/10.1186/s12859-019-3269-4","title":"How to balance the bioinformatics data: pseudo-negative sampling","display_name":"How to balance the bioinformatics data: pseudo-negative sampling","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2998415747","doi":"https://doi.org/10.1186/s12859-019-3269-4","mag":"2998415747","pmid":"https://pubmed.ncbi.nlm.nih.gov/31874622"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-019-3269-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-019-3269-4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-019-3269-4","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/track/pdf/10.1186/s12859-019-3269-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100741917","display_name":"Yongqing Zhang","orcid":"https://orcid.org/0000-0003-3422-8305"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqing Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China","School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074090518","display_name":"Shaojie Qiao","orcid":"https://orcid.org/0000-0002-4703-780X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaojie Qiao","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China. sjqiao@cuit.edu.cn","Software Automatic Generation and Intelligent Service Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, 610225, China. sjqiao@cuit.edu.cn","School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China. sjqiao@cuit.edu.cn","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"Software Automatic Generation and Intelligent Service Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, 610225, China. sjqiao@cuit.edu.cn","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113891500","display_name":"Rongzhao Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongzhao Lu","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106976432","display_name":"Nan Han","orcid":"https://orcid.org/0009-0009-3349-6763"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Han","raw_affiliation_strings":["School of Management, Chengdu University of Information Technology, Chengdu, 610103, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Chengdu University of Information Technology, Chengdu, 610103, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dingxiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingxiang Liu","raw_affiliation_strings":["School of Cybersecurity, Chengdu University of Information Technology, Chengdu, 610225, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Chengdu University of Information Technology, Chengdu, 610225, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110286429","display_name":"Jiliu Zhou","orcid":"https://orcid.org/0000-0002-4052-7638"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiliu Zhou","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074090518"],"corresponding_institution_ids":["https://openalex.org/I24201400"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.9574,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.82719556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"20","issue":"S25","first_page":"695","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9355000257492065,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9355000257492065,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.008700000122189522,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14374","display_name":"Statistical Methods in Epidemiology","score":0.006300000008195639,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6642255783081055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5976496338844299},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5774132013320923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.513433575630188},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4992494583129883},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.4976177513599396},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4896085858345032},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.48518306016921997},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4229468107223511},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4022568166255951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3985525369644165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3884338438510895},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35414183139801025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23383823037147522}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6642255783081055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5976496338844299},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5774132013320923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.513433575630188},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4992494583129883},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.4976177513599396},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4896085858345032},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.48518306016921997},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4229468107223511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4022568166255951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3985525369644165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3884338438510895},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35414183139801025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23383823037147522},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"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":"D012680","descriptor_name":"Sensitivity and Specificity","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":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-019-3269-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-019-3269-4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-019-3269-4","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:31874622","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31874622","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:eb913d0d60354e29b6c7b60919723c06","is_oa":false,"landing_page_url":"https://doaj.org/article/eb913d0d60354e29b6c7b60919723c06","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 20, Iss S25, Pp 1-13 (2019)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:6929457","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6929457","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/s12859-019-3269-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-019-3269-4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-019-3269-4","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/G1218524806","display_name":"\u60c5\u666f\u611f\u77e5\u9a71\u52a8\u7684\u79fb\u52a8\u5bf9\u8c61\u591a\u6a21\u5f0f\u8f68\u8ff9\u9884\u6d4b\u6a21\u578b\u7814\u7a76","funder_award_id":"61772091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4576648995","display_name":null,"funder_award_id":"61802035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5150013732","display_name":null,"funder_award_id":"18ZA0098","funder_id":"https://openalex.org/F4320322970","funder_display_name":"Education Department of Sichuan Province"},{"id":"https://openalex.org/G5418740185","display_name":null,"funder_award_id":"2017M612948","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5512086454","display_name":"\u57fa\u4e8e\u4e91\u5236\u9020\u670d\u52a1\u7684\u6c7d\u8f66\u4ea7\u4e1a\u94fe\u591a\u6838\u8de8\u94fe\u534f\u540c\u673a\u7406\u7814\u7a76","funder_award_id":"71701026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6934172100","display_name":"\u9762\u5411\u5927\u89c4\u6a21\u79fb\u52a8\u793e\u4ea4\u6570\u636e\u7684\u4e2a\u4f53\u65f6\u7a7a\u4ea4\u4e92\u6a21\u5f0f\u53d1\u73b0\u53ca\u793e\u533a\u8fdb\u5316\u673a\u7406\u7814\u7a76","funder_award_id":"61962006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8147465199","display_name":null,"funder_award_id":"61702058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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"},{"id":"https://openalex.org/F4320322970","display_name":"Education Department of Sichuan Province","ror":"https://ror.org/05s1c4z27"},{"id":"https://openalex.org/F4320328111","display_name":"Chengdu University","ror":"https://ror.org/034z67559"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2998415747.pdf","grobid_xml":"https://content.openalex.org/works/W2998415747.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1479317506","https://openalex.org/W1531160357","https://openalex.org/W1997519047","https://openalex.org/W2002106843","https://openalex.org/W2007618103","https://openalex.org/W2032867948","https://openalex.org/W2052034930","https://openalex.org/W2064086754","https://openalex.org/W2065806863","https://openalex.org/W2067261106","https://openalex.org/W2069040327","https://openalex.org/W2091411809","https://openalex.org/W2142878546","https://openalex.org/W2148143831","https://openalex.org/W2155004936","https://openalex.org/W2156136208","https://openalex.org/W2163075788","https://openalex.org/W2171806271","https://openalex.org/W2330697475","https://openalex.org/W2338825379","https://openalex.org/W2398606097","https://openalex.org/W2470845910","https://openalex.org/W2471473418","https://openalex.org/W2524315500","https://openalex.org/W2531919408","https://openalex.org/W2562319768","https://openalex.org/W2563953279","https://openalex.org/W2571304339","https://openalex.org/W2729704924","https://openalex.org/W2734575741","https://openalex.org/W2754289562","https://openalex.org/W2763916687","https://openalex.org/W2764133186","https://openalex.org/W2774907000","https://openalex.org/W2783189800","https://openalex.org/W2792353048","https://openalex.org/W2804489036","https://openalex.org/W2807186140","https://openalex.org/W2809541759","https://openalex.org/W2810756255","https://openalex.org/W2828866824","https://openalex.org/W2886857295","https://openalex.org/W2896262061","https://openalex.org/W2964050365","https://openalex.org/W3005009719","https://openalex.org/W3120740533","https://openalex.org/W4231842606","https://openalex.org/W4236927017"],"related_works":["https://openalex.org/W3013810674","https://openalex.org/W357196361","https://openalex.org/W2027314909","https://openalex.org/W3109425891","https://openalex.org/W3096637473","https://openalex.org/W1036938216","https://openalex.org/W2113714434","https://openalex.org/W2377792686","https://openalex.org/W4200439127","https://openalex.org/W2560331580"],"abstract_inverted_index":{"BACKGROUND:":[0],"Imbalanced":[1],"datasets":[2,172],"are":[3,213],"commonly":[4],"encountered":[5],"in":[6,196],"bioinformatics":[7,176],"classification":[8],"problems,":[9],"that":[10,21,209],"is,":[11],"the":[12,26,34,37,47,78,113,137,141,160,180,186,203,210,218,223,228,236],"number":[13],"of":[14,22,36,40,162,188,198,225,238],"negative":[15,81,114,155],"samples":[16,82,111,115,134,144,150,212,230,233],"is":[17,106,190],"much":[18],"larger":[19],"than":[20,192],"positive":[23,41,85,120,149],"samples.":[24,42,86,121],"Particularly,":[25],"data":[27,49,65],"imbalance":[28,219],"phenomena":[29],"will":[30],"make":[31],"us":[32],"underestimate":[33],"performance":[35,161,187],"minority":[38,229],"class":[39],"Therefore,":[43],"how":[44],"to":[45,76,108,130,135,148,154,179,216],"balance":[46],"bioinformatic":[48],"becomes":[50],"a":[51,63,90,96],"very":[52],"challenging":[53],"and":[54,116,151,173,202],"difficult":[55],"problem.":[56,221],"RESULTS:":[57],"In":[58,122],"this":[59],"study,":[60],"we":[61,88,165,183],"propose":[62],"new":[64],"sampling":[66,194],"approach,":[67],"called":[68],"pseudo-negative":[69,110,133,143,211,232],"sampling,":[70],"which":[71,105],"can":[72],"be":[73],"effectively":[74],"applied":[75],"handle":[77],"case":[79],"that:":[80],"greatly":[83],"dominate":[84],"Specifically,":[87],"design":[89],"supervised":[91],"learning":[92],"method":[93],"based":[94],"on":[95,169,241],"max-relevance":[97],"min-redundancy":[98],"criterion":[99],"beyond":[100],"Pearson":[101],"correlation":[102],"coefficient":[103],"(MMPCC),":[104],"used":[107],"choose":[109],"from":[112,227],"view":[117],"them":[118],"as":[119],"addition,":[123],"MMPCC":[124,189],"uses":[125],"an":[126],"incremental":[127],"searching":[128],"technique":[129],"select":[131],"optimal":[132],"reduce":[136],"computation":[138],"cost.":[139],"Consequently,":[140],"discovered":[142],"have":[145],"strong":[146],"relevance":[147],"less":[152],"redundancy":[153],"ones.":[156],"CONCLUSIONS:":[157],"To":[158],"validate":[159],"our":[163],"method,":[164],"conduct":[166],"experiments":[167],"base":[168],"four":[170],"UCI":[171],"three":[174],"real":[175],"datasets.":[177],"According":[178],"experimental":[181],"results,":[182],"clearly":[184],"observe":[185],"better":[191],"other":[193],"methods":[195],"terms":[197],"Sensitivity,":[199],"Specificity,":[200],"Accuracy":[201],"Mathew's":[204],"Correlation":[205],"Coefficient.":[206],"This":[207],"reveals":[208],"particularly":[214],"helpful":[215],"solve":[217],"dataset":[220],"Moreover,":[222],"gain":[224],"Sensitivity":[226],"with":[231,235],"grows":[234],"improvement":[237],"prediction":[239],"accuracy":[240],"all":[242],"dataset.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
