{"id":"https://openalex.org/W2133671203","doi":"https://doi.org/10.1186/1471-2105-7-95","title":"Gene selection algorithms for microarray data based on least squares support vector machine","display_name":"Gene selection algorithms for microarray data based on least squares support vector machine","publication_year":2006,"publication_date":"2006-02-27","ids":{"openalex":"https://openalex.org/W2133671203","doi":"https://doi.org/10.1186/1471-2105-7-95","mag":"2133671203","pmid":"https://pubmed.ncbi.nlm.nih.gov/16504159"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-7-95","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-7-95","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-7-95","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/10.1186/1471-2105-7-95","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109613977","display_name":"E. K. Tang","orcid":null},"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":"E Ke Tang","raw_affiliation_strings":["School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. tangke@pmail.ntu.edu.sg","School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. tangke@pmail.ntu.edu.sg","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025626208","display_name":"Ponnuthurai Nagaratnam Suganthan","orcid":"https://orcid.org/0000-0003-0901-5105"},"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":true,"raw_author_name":"PN Suganthan","raw_affiliation_strings":["School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK","School of Computer Science, University of Birmingham, Birmingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"School of Computer Science, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025626208"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":4.8245,"has_fulltext":true,"cited_by_count":94,"citation_normalized_percentile":{"value":0.95980339,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":"1","first_page":"95","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9776999950408936,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9776999950408936,"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":0.0017999999690800905,"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"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.0013000000035390258,"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/gene-selection","display_name":"Gene selection","score":0.7349241971969604},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.687838077545166},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6370102763175964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5763251781463623},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.5240122079849243},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4933144152164459},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4243411719799042},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4209796190261841},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.41472476720809937},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.40552669763565063},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.381841778755188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3362289071083069},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3233882784843445},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19693824648857117},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.15753260254859924},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.08934333920478821}],"concepts":[{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.7349241971969604},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.687838077545166},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6370102763175964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5763251781463623},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.5240122079849243},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4933144152164459},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4243411719799042},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4209796190261841},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.41472476720809937},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.40552669763565063},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.381841778755188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3362289071083069},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3233882784843445},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19693824648857117},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.15753260254859924},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.08934333920478821}],"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","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":"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":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1186/1471-2105-7-95","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-7-95","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-7-95","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:16504159","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/16504159","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":"Evaluation Study"},{"id":"pmh:oai:pure.atira.dk:openaire/5c4bfa45-f0a0-4c00-8c1b-660f77c17b47","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/5c4bfa45-f0a0-4c00-8c1b-660f77c17b47","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tang, EK, Suganthan, PN & Yao, X 2006, 'Gene selection algorithms for microarray data based on least squares support vector machine', BMC Bioinformatics, vol. 7, 95. https://doi.org/10.1186/1471-2105-7-95","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pubmedcentral.nih.gov:1409801","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/1409801","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"},{"id":"pmh:oai:doaj.org/article:c11143e9cdbb4f0f891324019a65743d","is_oa":false,"landing_page_url":"https://doaj.org/article/c11143e9cdbb4f0f891324019a65743d","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 7, Iss 1, p 95 (2006)","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/5c4bfa45-f0a0-4c00-8c1b-660f77c17b47","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=33747359870&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1186/1471-2105-7-95","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-7-95","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-7-95","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2133671203.pdf","grobid_xml":"https://content.openalex.org/works/W2133671203.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W149574399","https://openalex.org/W1480376833","https://openalex.org/W1496317909","https://openalex.org/W1549656520","https://openalex.org/W1551136530","https://openalex.org/W1554944419","https://openalex.org/W1560724230","https://openalex.org/W1587362683","https://openalex.org/W1596717185","https://openalex.org/W1799475883","https://openalex.org/W1862312035","https://openalex.org/W2007023714","https://openalex.org/W2008276243","https://openalex.org/W2017337590","https://openalex.org/W2040884411","https://openalex.org/W2043235003","https://openalex.org/W2069659771","https://openalex.org/W2098509901","https://openalex.org/W2107956883","https://openalex.org/W2109363337","https://openalex.org/W2110298216","https://openalex.org/W2113584252","https://openalex.org/W2116948717","https://openalex.org/W2122649297","https://openalex.org/W2126214330","https://openalex.org/W2133064628","https://openalex.org/W2135190479","https://openalex.org/W2139151957","https://openalex.org/W2143426320","https://openalex.org/W2145635005","https://openalex.org/W2150630892","https://openalex.org/W2155706105","https://openalex.org/W2158001550","https://openalex.org/W2912934387","https://openalex.org/W3146003712","https://openalex.org/W3195149063","https://openalex.org/W4298266977","https://openalex.org/W4301501800"],"related_works":["https://openalex.org/W2278736760","https://openalex.org/W1492428813","https://openalex.org/W1986892844","https://openalex.org/W2490137852","https://openalex.org/W3023720143","https://openalex.org/W4310366902","https://openalex.org/W170658859","https://openalex.org/W3141198878","https://openalex.org/W2056932428","https://openalex.org/W1483316219"],"abstract_inverted_index":{"BACKGROUND:":[0],"In":[1,70],"discriminant":[2,32],"analysis":[3,33],"of":[4,11,19,61,86,93,139,151,156,228],"microarray":[5,171],"data,":[6],"usually":[7,42],"a":[8,16,66,75,123,224],"small":[9],"number":[10,18,227],"samples":[12],"are":[13,167],"expressed":[14],"by":[15,111],"large":[17,226],"genes.":[20,37,47,229],"It":[21],"is":[22,41,108,135,208],"not":[23],"only":[24],"difficult":[25],"but":[26],"also":[27,136,218],"unnecessary":[28],"to":[29,44,65,169,175,199,210,221],"conduct":[30],"the":[31,36,80,91,113,117,128,140,152,157,185,211],"with":[34,63,116,223],"all":[35],"Hence,":[38],"gene":[39,50,97,125,131,141,178,191,196],"selection":[40,51,98,105,120,126,132,142,179,192],"performed":[43],"select":[45],"important":[46],"RESULTS:":[48],"A":[49,84,96],"method":[52],"searches":[53],"for":[54],"an":[55,146],"optimal":[56,59],"or":[57],"near":[58],"subset":[60],"genes":[62],"respect":[64],"given":[67],"evaluation":[68,77],"criterion.":[69],"this":[71],"paper,":[72],"we":[73],"propose":[74],"new":[76],"criterion,":[78],"named":[79,100],"leave-one-out":[81,101,130,153],"calculation":[82,102,150],"(LOOC,":[83],"list":[85,92],"abbreviations":[87],"appears":[88],"just":[89],"above":[90],"references)":[94],"measure.":[95],"method,":[99],"sequential":[103,118],"forward":[104,119],"(LOOCSFS)":[106],"algorithm,":[107,127,134],"then":[109],"presented":[110],"combining":[112],"LOOC":[114],"measure":[115],"scheme.":[121],"Further,":[122],"novel":[124],"gradient-based":[129],"(GLGS)":[133],"proposed.":[137],"Both":[138],"algorithms":[143],"originate":[144],"from":[145,184],"efficient":[147],"and":[148,173],"exact":[149],"cross-validation":[154],"error":[155],"least":[158],"squares":[159],"support":[160],"vector":[161],"machine":[162],"(LS-SVM).":[163],"The":[164,189,214],"proposed":[165,190],"approaches":[166,193],"applied":[168],"two":[170],"datasets":[172,222],"compared":[174],"other":[176],"well-known":[177],"methods":[180],"using":[181],"codes":[182],"available":[183],"second":[186],"author.":[187],"CONCLUSION:":[188],"can":[194,217],"provide":[195],"subsets":[197],"leading":[198],"more":[200],"accurate":[201],"classification":[202],"results,":[203],"while":[204],"their":[205],"computational":[206],"complexity":[207],"comparable":[209],"existing":[212],"methods.":[213],"GLGS":[215],"algorithm":[216],"better":[219],"scale":[220],"very":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
