{"id":"https://openalex.org/W2741799640","doi":"https://doi.org/10.1155/2017/7907163","title":"A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data","display_name":"A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2741799640","doi":"https://doi.org/10.1155/2017/7907163","mag":"2741799640","pmid":"https://pubmed.ncbi.nlm.nih.gov/28835769"},"language":"en","primary_location":{"id":"doi:10.1155/2017/7907163","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/7907163","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2017/7907163.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/cmmm/2017/7907163.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020597364","display_name":"Andrea Bommert","orcid":"https://orcid.org/0000-0002-1005-9351"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andrea Bommert","raw_affiliation_strings":["Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1005-9351","affiliations":[{"raw_affiliation_string":"Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075610512","display_name":"J\u00f6rg Rahnenf\u00fchrer","orcid":"https://orcid.org/0000-0002-8947-440X"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Rahnenf\u00fchrer","raw_affiliation_strings":["Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044684160","display_name":"Michel Lang","orcid":"https://orcid.org/0000-0001-9754-0393"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michel Lang","raw_affiliation_strings":["Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020597364"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":1855,"currency":"EUR","value_usd":2000},"fwci":0.7849,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.71510629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9944000244140625,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9241088032722473},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7390152215957642},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.7266020178794861},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.616661012172699},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6063438653945923},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5962334275245667},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5877453088760376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5872451663017273},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5540348291397095},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5433722734451294},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.53908371925354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5074688792228699},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5008716583251953},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.48754093050956726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4596433639526367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3255574107170105}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9241088032722473},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7390152215957642},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.7266020178794861},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.616661012172699},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6063438653945923},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5962334275245667},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5877453088760376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5872451663017273},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5540348291397095},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5433722734451294},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.53908371925354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5074688792228699},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5008716583251953},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.48754093050956726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4596433639526367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3255574107170105},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"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":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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:10.1155/2017/7907163","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/7907163","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2017/7907163.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:28835769","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28835769","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:6d253096edf540a4869f7fa4409373aa","is_oa":true,"landing_page_url":"https://doaj.org/article/6d253096edf540a4869f7fa4409373aa","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":"Computational and Mathematical Methods in Medicine, Vol 2017 (2017)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4460813","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5556617","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2017/7907163","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/7907163","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2017/7907163.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3095388832","display_name":null,"funder_award_id":"SFB 876, A3","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5523801029","display_name":null,"funder_award_id":"SFB 876","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G891696078","display_name":null,"funder_award_id":"RA 870/7-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320329559","display_name":"Technische Universit\u00e4t Dortmund","ror":"https://ror.org/01k97gp34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741799640.pdf","grobid_xml":"https://content.openalex.org/works/W2741799640.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W124018459","https://openalex.org/W1506859583","https://openalex.org/W1874719720","https://openalex.org/W1966703382","https://openalex.org/W1987869189","https://openalex.org/W2004141349","https://openalex.org/W2007028835","https://openalex.org/W2038894244","https://openalex.org/W2047729457","https://openalex.org/W2052503178","https://openalex.org/W2071298010","https://openalex.org/W2071721660","https://openalex.org/W2085210969","https://openalex.org/W2088883866","https://openalex.org/W2117004913","https://openalex.org/W2126547130","https://openalex.org/W2130004766","https://openalex.org/W2132862423","https://openalex.org/W2145126338","https://openalex.org/W2146739527","https://openalex.org/W2151990594","https://openalex.org/W2154053567","https://openalex.org/W2156647247","https://openalex.org/W2157395790","https://openalex.org/W2159135906","https://openalex.org/W2162162988","https://openalex.org/W2165250079","https://openalex.org/W2205688503","https://openalex.org/W2314259864","https://openalex.org/W2503727350","https://openalex.org/W2510447297","https://openalex.org/W2562162676","https://openalex.org/W3102027041","https://openalex.org/W4233482358"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4394010018","https://openalex.org/W2083862258"],"abstract_inverted_index":{"Finding":[0],"a":[1,6,23,87,91,125,157,160,185],"good":[2],"predictive":[3,27,88,194],"model":[4,24,36,77,89],"for":[5,61,65,118,147,162],"high-dimensional":[7,92],"data":[8,93],"set":[9],"can":[10],"be":[11],"challenging.":[12],"For":[13],"genetic":[14],"data,":[15],"it":[16,30,111,152,178],"is":[17,31,48,51,112,116,153,179],"not":[18,59],"only":[19,38,60],"important":[20,33,155],"to":[21,90,181],"find":[22,145,182],"with":[25,184],"high":[26],"accuracy,":[28,97],"but":[29,63],"also":[32,64],"that":[34,42,132,146,156,177],"this":[35],"uses":[37],"few":[39,189],"features":[40,47,190],"and":[41,73,104,140,175],"the":[43,55,71,76,95,98,101,105,120,133,137,148],"selection":[44,187],"of":[45,75,100,107,127,167,188],"these":[46],"stable.":[49],"This":[50],"because,":[52],"in":[53],"bioinformatics,":[54],"models":[56,183],"are":[57],"used":[58],"prediction":[62],"drawing":[66],"biological":[67],"conclusions":[68],"which":[69,114],"makes":[70],"interpretability":[72],"reliability":[74],"crucial.":[78],"We":[79,130],"suggest":[80],"using":[81],"three":[82],"target":[83],"criteria":[84],"when":[85],"fitting":[86],"set:":[94],"classification":[96],"stability":[99,128,149],"feature":[102],"selection,":[103],"number":[106],"chosen":[108,168],"features.":[109,169],"As":[110],"unclear":[113],"measure":[115,158],"best":[117,138],"evaluating":[119],"stability,":[121],"we":[122,144,171],"first":[123],"compare":[124],"variety":[126],"measures.":[129],"conclude":[131,176],"Pearson":[134],"correlation":[135],"has":[136],"theoretical":[139],"empirical":[141],"properties.":[142],"Also,":[143],"assessment":[150],"behaviour":[151],"most":[154],"contains":[159],"correction":[161],"chance":[163],"or":[164],"large":[165],"numbers":[166],"Then,":[170],"analyse":[172],"Pareto":[173],"fronts":[174],"possible":[180],"stable":[186],"without":[191],"losing":[192],"much":[193],"accuracy.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
