{"id":"https://openalex.org/W3145182840","doi":"https://doi.org/10.1109/access.2021.3070428","title":"A Novel Hybrid Feature Selection and Ensemble Learning Framework for Unbalanced Cancer Data Diagnosis With Transcriptome and Functional Proteomic","display_name":"A Novel Hybrid Feature Selection and Ensemble Learning Framework for Unbalanced Cancer Data Diagnosis With Transcriptome and Functional Proteomic","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3145182840","doi":"https://doi.org/10.1109/access.2021.3070428","mag":"3145182840"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3070428","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3070428","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09393342.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09393342.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016425036","display_name":"Xianfang Tang","orcid":"https://orcid.org/0000-0002-6895-2898"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfang Tang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6895-2898","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104075559","display_name":"Lijun Cai","orcid":"https://orcid.org/0009-0009-8057-4146"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Cai","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006543131","display_name":"Yajie Meng","orcid":"https://orcid.org/0000-0002-2384-1158"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajie Meng","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2384-1158","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014447756","display_name":"Changlong Gu","orcid":"https://orcid.org/0000-0002-8470-0228"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changlong Gu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8470-0228","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028692805","display_name":"Jialiang Yang","orcid":"https://orcid.org/0000-0003-4689-8672"},"institutions":[{"id":"https://openalex.org/I165911609","display_name":"Changsha Medical University","ror":"https://ror.org/05dt7z971","country_code":"CN","type":"education","lineage":["https://openalex.org/I165911609"]},{"id":"https://openalex.org/I4210139220","display_name":"Cipher Gene (China)","ror":"https://ror.org/03fqvdm62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210139220"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialiang Yang","raw_affiliation_strings":["Academician Workstation, Changsha Medical University, Changsha, China","Geneis Beijing Company Ltd., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4689-8672","affiliations":[{"raw_affiliation_string":"Academician Workstation, Changsha Medical University, Changsha, China","institution_ids":["https://openalex.org/I165911609"]},{"raw_affiliation_string":"Geneis Beijing Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210139220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107875139","display_name":"Jiasheng Yang","orcid":"https://orcid.org/0009-0006-1708-9920"},"institutions":[{"id":"https://openalex.org/I165911609","display_name":"Changsha Medical University","ror":"https://ror.org/05dt7z971","country_code":"CN","type":"education","lineage":["https://openalex.org/I165911609"]},{"id":"https://openalex.org/I4210139220","display_name":"Cipher Gene (China)","ror":"https://ror.org/03fqvdm62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210139220"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiasheng Yang","raw_affiliation_strings":["Academician Workstation, Changsha Medical University, Changsha, China","Geneis Beijing Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academician Workstation, Changsha Medical University, Changsha, China","institution_ids":["https://openalex.org/I165911609"]},{"raw_affiliation_string":"Geneis Beijing Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210139220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4274,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.81338087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"51659","last_page":"51668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9977999925613403,"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":0.9965000152587891,"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/feature-selection","display_name":"Feature selection","score":0.8576000332832336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222311496734619},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6140073537826538},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6000356674194336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5525951385498047},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5108296871185303},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3756271004676819},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3740577697753906}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8576000332832336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222311496734619},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6140073537826538},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6000356674194336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525951385498047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5108296871185303},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3756271004676819},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3740577697753906}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3070428","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3070428","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09393342.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7c02850488da4e9aad7d5f9d5a4f36d6","is_oa":true,"landing_page_url":"https://doaj.org/article/7c02850488da4e9aad7d5f9d5a4f36d6","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":"IEEE Access, Vol 9, Pp 51659-51668 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3070428","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3070428","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09393342.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G6768010601","display_name":null,"funder_award_id":"CX20200434","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"},{"id":"https://openalex.org/G7594098877","display_name":null,"funder_award_id":"2020JJ4209","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7919669517","display_name":null,"funder_award_id":"2018JJ2461","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320326217","display_name":"Hunan Provincial Innovation Foundation for Postgraduate","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3145182840.pdf","grobid_xml":"https://content.openalex.org/works/W3145182840.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1975664724","https://openalex.org/W2051084977","https://openalex.org/W2065027509","https://openalex.org/W2090631044","https://openalex.org/W2092056631","https://openalex.org/W2099454382","https://openalex.org/W2103038661","https://openalex.org/W2103372737","https://openalex.org/W2128985829","https://openalex.org/W2150006612","https://openalex.org/W2150134014","https://openalex.org/W2165745669","https://openalex.org/W2405013394","https://openalex.org/W2405490536","https://openalex.org/W2508529933","https://openalex.org/W2559422050","https://openalex.org/W2569168369","https://openalex.org/W2575330389","https://openalex.org/W2612473079","https://openalex.org/W2735112026","https://openalex.org/W2747298891","https://openalex.org/W2750900465","https://openalex.org/W2755012395","https://openalex.org/W2763523016","https://openalex.org/W2767111237","https://openalex.org/W2767768852","https://openalex.org/W2771640894","https://openalex.org/W2804711710","https://openalex.org/W2885669402","https://openalex.org/W2892079407","https://openalex.org/W2899178572","https://openalex.org/W2900105190","https://openalex.org/W2907692495","https://openalex.org/W2942245950","https://openalex.org/W2949607402","https://openalex.org/W2952817552","https://openalex.org/W2973093569","https://openalex.org/W2980883937","https://openalex.org/W2981009510","https://openalex.org/W2996338703","https://openalex.org/W3007678807","https://openalex.org/W3014976078","https://openalex.org/W3014983221","https://openalex.org/W3021586058","https://openalex.org/W3037144599","https://openalex.org/W3038720525","https://openalex.org/W3038751622","https://openalex.org/W3041116333","https://openalex.org/W4256412268","https://openalex.org/W6730299314"],"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":{"The":[0,113,141],"high":[1,3],"dimension,":[2],"redundancy":[4],"and":[5,32,44,55,71,109,125,160],"class":[6],"imbalance":[7,134],"of":[8,26,34,123,147,162],"cancer":[9,18,64],"multiple":[10,103],"omics":[11],"data":[12,74,79,93,124,133],"are":[13,165],"the":[14,24,30,51,69,85,99,106,118,126,132,155,163],"main":[15],"challenges":[16],"for":[17,63,94],"diagnosis.":[19,65],"Existing":[20],"studies":[21],"have":[22],"neglected":[23],"role":[25],"functional":[27,72],"proteomics":[28,73],"in":[29],"occurrence":[31],"development":[33],"cancer.":[35,97],"In":[36,153],"this":[37],"study,":[38],"a":[39,77,138,144],"novel":[40],"hybrid":[41],"feature":[42,53,107,115],"selection":[43,54,108],"ensemble":[45,57,128],"learning":[46,58,129],"framework,":[47],"referred":[48],"to":[49,75,88],"as":[50],"three-stage":[52,114],"twice-competitional":[56,127],"method":[59,101,164],"(TSFS-TCEM),":[60],"is":[61,84],"proposed":[62,100],"Firstly,":[66],"we":[67],"combine":[68],"transcriptome":[70],"construct":[76],"multi-omics":[78],"on":[80],"breast":[81,96],"cancer,":[82],"which":[83],"first":[86],"time":[87],"apply":[89],"these":[90],"combined":[91],"biological":[92],"diagnosing":[95],"Secondly,":[98],"introduces":[102],"models":[104],"during":[105],"diagnostic":[110,145],"model":[111],"construction.":[112],"selections":[116],"integrate":[117],"features":[119],"from":[120,137],"different":[121],"types":[122],"framework":[130],"resolves":[131],"problem":[135],"suffer":[136],"single":[139],"classifier.":[140],"TSFS-TCEM":[142],"achieves":[143],"accuracy":[146],"99.64%,":[148],"outperforming":[149],"all":[150],"compared":[151],"methods.":[152],"addition,":[154],"5-fold":[156],"cross-validation":[157],"sensitivity,":[158],"specificity":[159],"F-Measure":[161],"above":[166],"99.63%.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}