{"id":"https://openalex.org/W2343662318","doi":"https://doi.org/10.1109/bhi.2016.7455896","title":"Gene selection and classification approach for microarray data based on Random Forest Ranking and BBHA","display_name":"Gene selection and classification approach for microarray data based on Random Forest Ranking and BBHA","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2343662318","doi":"https://doi.org/10.1109/bhi.2016.7455896","mag":"2343662318"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2016.7455896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2016.7455896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022101226","display_name":"Elnaz Pashaei","orcid":"https://orcid.org/0000-0001-9391-9785"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Elnaz Pashaei","raw_affiliation_strings":["Department of Computer Engineering, Yildiz Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087269421","display_name":"Mustafa \u00d6zen","orcid":"https://orcid.org/0000-0002-6142-5294"},"institutions":[{"id":"https://openalex.org/I4210104933","display_name":"Biruni University","ror":"https://ror.org/01nkhmn89","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210104933"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa Ozen","raw_affiliation_strings":["Department of Molecular Biology and Genetics, Biruni University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Molecular Biology and Genetics, Biruni University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4210104933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015969726","display_name":"Nizamettin Ayd\u0131n","orcid":"https://orcid.org/0000-0003-0022-2247"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nizamettin Aydin","raw_affiliation_strings":["Department of Computer Engineering, Yildiz Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022101226"],"corresponding_institution_ids":["https://openalex.org/I4101805"],"apc_list":null,"apc_paid":null,"fwci":1.8075,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.84746014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T10057","display_name":"Face and Expression Recognition","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.97079998254776,"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/random-forest","display_name":"Random forest","score":0.8122236728668213},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.7601907253265381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6243919134140015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6214989423751831},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5697794556617737},{"id":"https://openalex.org/keywords/bootstrap-aggregating","display_name":"Bootstrap aggregating","score":0.5655246376991272},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5227068662643433},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5212005972862244},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5082420706748962},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4964001774787903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4893438220024109},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4580278992652893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42883992195129395},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.3424682319164276},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22317907214164734},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.2107829749584198},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08515289425849915}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8122236728668213},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.7601907253265381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6243919134140015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6214989423751831},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5697794556617737},{"id":"https://openalex.org/C162040801","wikidata":"https://www.wikidata.org/wiki/Q799897","display_name":"Bootstrap aggregating","level":2,"score":0.5655246376991272},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5227068662643433},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5212005972862244},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5082420706748962},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4964001774787903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4893438220024109},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4580278992652893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42883992195129395},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.3424682319164276},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22317907214164734},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.2107829749584198},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08515289425849915},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2016.7455896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2016.7455896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7400000095367432,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W66878097","https://openalex.org/W1504974927","https://openalex.org/W1978392040","https://openalex.org/W2008743043","https://openalex.org/W2038240472","https://openalex.org/W2041567916","https://openalex.org/W2047099264","https://openalex.org/W2056811412","https://openalex.org/W2119870871","https://openalex.org/W2125213524","https://openalex.org/W2129659619","https://openalex.org/W2152195021","https://openalex.org/W2200478822","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W4212883601","https://openalex.org/W6630073168","https://openalex.org/W6664524187"],"related_works":["https://openalex.org/W2387981317","https://openalex.org/W1492428813","https://openalex.org/W2595156610","https://openalex.org/W4238387581","https://openalex.org/W3011239835","https://openalex.org/W4200234001","https://openalex.org/W2181634350","https://openalex.org/W1990653740","https://openalex.org/W4312739540","https://openalex.org/W2170304139"],"abstract_inverted_index":{"In":[0,28],"this":[1,29],"paper,":[2],"a":[3,65],"novel":[4],"approach":[5],"based":[6],"on":[7],"Binary":[8],"Black":[9],"Hole":[10],"Algorithm":[11],"(BBHA)":[12],"and":[13,23,32,43,54,99],"Random":[14],"Forest":[15],"Ranking":[16],"(RFR)":[17],"is":[18,62,71],"proposed":[19,83],"for":[20],"gene":[21,38],"selection":[22,39],"classification":[24,76,103],"of":[25,47,69,90,97],"microarray":[26],"data.":[27],"approach,":[30],"RFR":[31],"BBHA":[33],"are":[34],"used":[35],"to":[36,40,73],"perform":[37],"remove":[41],"irrelevant":[42],"redundant":[44],"genes.":[45],"Because":[46],"its":[48],"ability":[49],"in":[50],"reducing":[51],"noise,":[52],"bias":[53],"variance":[55],"errors":[56],"Bagging":[57,98],"with":[58],"10-fold":[59],"cross":[60],"validation":[61],"selected":[63],"as":[64],"classifier.":[66],"The":[67],"result":[68],"RFR-BBHA-Bagging":[70],"compared":[72],"seven":[74],"benchmark":[75],"methods.":[77,104],"Experimental":[78],"results":[79],"show":[80],"that":[81],"our":[82],"method":[84],"by":[85],"selecting":[86],"the":[87,101],"least":[88],"number":[89],"informative":[91],"genes":[92],"can":[93],"increase":[94],"prediction":[95],"accuracy":[96],"outperforms":[100],"other":[102]},"counts_by_year":[{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}