{"id":"https://openalex.org/W2125510350","doi":"https://doi.org/10.1186/1471-2105-13-157","title":"Minimalist ensemble algorithms for genome-wide protein localization prediction","display_name":"Minimalist ensemble algorithms for genome-wide protein localization prediction","publication_year":2012,"publication_date":"2012-07-03","ids":{"openalex":"https://openalex.org/W2125510350","doi":"https://doi.org/10.1186/1471-2105-13-157","mag":"2125510350","pmid":"https://pubmed.ncbi.nlm.nih.gov/22759391"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-13-157","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-13-157","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-13-157","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/10.1186/1471-2105-13-157","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000585202","display_name":"Jhih-Rong Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jhih-Rong Lin","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA","Department of Computer Science and Engineering, University of South Carolina, Columbia, (USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, (USA)","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045295085","display_name":"Ananda Mohan Mondal","orcid":"https://orcid.org/0000-0002-4005-9942"},"institutions":[{"id":"https://openalex.org/I16892885","display_name":"Claflin University","ror":"https://ror.org/052rx6v10","country_code":"US","type":"education","lineage":["https://openalex.org/I16892885"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ananda Mohan Mondal","raw_affiliation_strings":["Department of Mathematics and Computer Science, Claflin University, Columbia, SC, 29115, USA","Department of Mathematics and Computer Science, Claflin University, Columbia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Claflin University, Columbia, SC, 29115, USA","institution_ids":["https://openalex.org/I16892885"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science, Claflin University, Columbia, USA","institution_ids":["https://openalex.org/I16892885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068977147","display_name":"Rong Liu","orcid":"https://orcid.org/0009-0005-7942-9727"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29208, USA","Department of Computer Science and Engineering, University of South Carolina, Columbia, (USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29208, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, (USA)","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060537711","display_name":"Jianjun Hu","orcid":"https://orcid.org/0000-0002-8725-6660"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29208, USA","Department of Computer Science and Engineering, University of South Carolina, Columbia, (USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29208, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, (USA)","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060537711"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.6621,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.68871444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"1","first_page":"157","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9739000201225281,"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":0.9739000201225281,"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":0.013000000268220901,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.0017999999690800905,"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":0.7449033856391907},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6192720532417297},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6047568321228027},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.5492761135101318},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5296732187271118},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5221186876296997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5073909163475037},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4873086214065552},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3491330146789551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7449033856391907},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6192720532417297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6047568321228027},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.5492761135101318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5296732187271118},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5221186876296997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5073909163475037},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4873086214065552},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3491330146789551}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015894","descriptor_name":"Genome, Human","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015894","descriptor_name":"Genome, Human","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015894","descriptor_name":"Genome, Human","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016681","descriptor_name":"Genome, Fungal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016681","descriptor_name":"Genome, Fungal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016681","descriptor_name":"Genome, Fungal","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":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","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":5,"locations":[{"id":"doi:10.1186/1471-2105-13-157","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-13-157","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-13-157","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:22759391","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22759391","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:scholarcommons.sc.edu:csce_facpub-1108","is_oa":true,"landing_page_url":"https://scholarcommons.sc.edu/csce_facpub/121","pdf_url":null,"source":{"id":"https://openalex.org/S4377196354","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"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":"Faculty Publications","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:cef049fd3419478f8e1d8eb6de859cf9","is_oa":false,"landing_page_url":"https://doaj.org/article/cef049fd3419478f8e1d8eb6de859cf9","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 13, Iss 1, p 157 (2012)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3426488","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3426488","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:10.1186/1471-2105-13-157","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-13-157","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-13-157","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/G6757277233","display_name":null,"funder_award_id":"BIO-DBI-0845381","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6877852469","display_name":"CAREER:   Computational Analysis and Prediction of Genome-Wide Protein Targeting Signals and Localization","funder_award_id":"0845381","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2125510350.pdf","grobid_xml":"https://content.openalex.org/works/W2125510350.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1973253766","https://openalex.org/W1982228765","https://openalex.org/W2025009049","https://openalex.org/W2025117991","https://openalex.org/W2030903159","https://openalex.org/W2053535202","https://openalex.org/W2055616662","https://openalex.org/W2063943250","https://openalex.org/W2065755128","https://openalex.org/W2065795346","https://openalex.org/W2090766471","https://openalex.org/W2111127373","https://openalex.org/W2120016245","https://openalex.org/W2125555508","https://openalex.org/W2132160618","https://openalex.org/W2150041912","https://openalex.org/W2158173168","https://openalex.org/W2160941422","https://openalex.org/W2160979370","https://openalex.org/W2162024319","https://openalex.org/W2162317335","https://openalex.org/W2163485494","https://openalex.org/W2169022009","https://openalex.org/W2169432731","https://openalex.org/W2169805130","https://openalex.org/W2172268683","https://openalex.org/W3103913776"],"related_works":["https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3092276832","https://openalex.org/W3111529524","https://openalex.org/W4375951447"],"abstract_inverted_index":{"BACKGROUND:":[0],"Computational":[1],"prediction":[2,22,25,41,69,167,222,300],"of":[3,17,19,81,112,118,144,174,177,201,208,227,264,277,308,325,328],"protein":[4,20,88],"subcellular":[5,89],"localization":[6,21,53,90],"can":[7,164,295],"greatly":[8,182],"help":[9],"to":[10,38,140,172,212,229,238,312,335],"elucidate":[11],"its":[12,150],"functions.":[13],"Despite":[14],"the":[15,24,40,62,132,160,193,202,213,221,232,241,337],"existence":[16],"dozens":[18],"algorithms,":[23,180,251],"accuracy":[26,168,223],"and":[27,65,103,123,146,148,186,235,284,344],"coverage":[28],"are":[29,198,348],"still":[30,59],"low.":[31],"Several":[32],"ensemble":[33,83,128,138,154,162,179,196,218,250,254,279,289,314,342],"algorithms":[34,84,197,255,280],"have":[35],"been":[36],"proposed":[37,74,133,271,287],"improve":[39],"performance,":[42],"which":[43,181],"usually":[44,199],"include":[45],"as":[46,48],"many":[47,266],"10":[49],"or":[50,298,306],"more":[51],"individual":[52,68,175,215,267,309,332],"algorithms.":[54,70,129,155,315],"However,":[55],"their":[56],"performance":[57,151,195,259,301],"is":[58,94],"limited":[60],"by":[61,330],"running":[63,187],"complexity":[64,185],"redundancy":[66],"among":[67],"RESULTS:":[71],"This":[72],"paper":[73],"a":[75,98,104,109,272,326],"novel":[76,110],"method":[77,273],"for":[78,85,231,240,274],"rational":[79,275],"design":[80,276],"minimalist":[82,134,161,278,288],"practical":[86],"genome-wide":[87,142],"prediction.":[91],"The":[92,286,316,340],"algorithm":[93,119,124,139,163,219,290],"based":[95,101,249,291],"on":[96,292],"combining":[97,331],"feature":[99,282],"selection":[100,283],"filter":[102],"logistic":[105,135,293],"regression":[106,136,294],"classifier.":[107],"Using":[108],"concept":[111],"contribution":[113],"scores,":[114],"we":[115],"analyzed":[116],"issues":[117],"redundancy,":[120],"consensus":[121],"mistakes,":[122],"complementarity":[125],"in":[126],"designing":[127],"We":[130,270],"applied":[131],"(LR)":[137],"two":[141],"datasets":[143,347],"Yeast":[145,233],"Human":[147,242],"compared":[149,311],"with":[152,169,245],"current":[153,178],"Experimental":[156],"results":[157,317],"showed":[158],"that":[159,192,204,320,322],"achieve":[165,296,336],"high":[166,194],"only":[170,304],"1/3":[171],"1/2":[173],"predictors":[176,203,310,333],"reduces":[183],"computational":[184],"time.":[188],"It":[189],"was":[190],"found":[191],"composed":[200],"together":[205],"cover":[206],"most":[207],"available":[209,349],"features.":[210],"Compared":[211,244],"best":[214,338],"predictor,":[216],"our":[217,252],"improved":[220],"from":[224,236,262],"AUC":[225],"score":[226],"0.558":[228],"0.707":[230],"dataset":[234],"0.628":[237],"0.646":[239],"dataset.":[243],"popular":[246],"weighted":[247],"voting":[248],"classifier-based":[253],"achieved":[256],"much":[257],"better":[258,299],"without":[260],"suffering":[261],"inclusion":[263],"too":[265],"predictors.":[268],"CONCLUSIONS:":[269],"using":[281,303],"classifiers.":[285],"equal":[297],"while":[302],"half":[305],"one-third":[307],"other":[313],"also":[318],"suggested":[319],"meta-predictors":[321],"take":[323],"advantage":[324],"variety":[327],"features":[329],"tend":[334],"performance.":[339],"LR":[341],"server":[343],"related":[345],"benchmark":[346],"at":[350],"http://mleg.cse.sc.edu/LRensemble/cgi-bin/predict.cgi.":[351]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
