{"id":"https://openalex.org/W2343980646","doi":"https://doi.org/10.1109/bhi.2016.7455893","title":"Comparison of some machine learning and statistical algorithms for classification and prediction of human cancer type","display_name":"Comparison of some machine learning and statistical algorithms for classification and prediction of human cancer type","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2343980646","doi":"https://doi.org/10.1109/bhi.2016.7455893","mag":"2343980646"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2016.7455893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2016.7455893","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/A5081960538","display_name":"Behrouz Shamsaei","orcid":"https://orcid.org/0000-0002-0672-5382"},"institutions":[{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Behrouz Shamsaei","raw_affiliation_strings":["Department of Computational Engineering, The University of Tennessee, Chattanooga, Chattanooga, Tennessee, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computational Engineering, The University of Tennessee, Chattanooga, Chattanooga, Tennessee, USA","institution_ids":["https://openalex.org/I177097968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001976641","display_name":"Cuilan Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cuilan Gao","raw_affiliation_strings":["Department of Computational Engineering, The University of Tennessee, Chattanooga, Chattanooga, Tennessee, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computational Engineering, The University of Tennessee, Chattanooga, Chattanooga, Tennessee, USA","institution_ids":["https://openalex.org/I177097968"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081960538"],"corresponding_institution_ids":["https://openalex.org/I177097968"],"apc_list":null,"apc_paid":null,"fwci":0.3335,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66731972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9886999726295471,"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":0.9886999726295471,"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":0.980400025844574,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.6665762662887573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6176351308822632},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.5420106649398804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5372289419174194},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4414989948272705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4259491562843323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6665762662887573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6176351308822632},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.5420106649398804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5372289419174194},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4414989948272705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4259491562843323},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2016.7455893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2016.7455893","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1727290854","https://openalex.org/W1980324442","https://openalex.org/W2080400869","https://openalex.org/W2094252236","https://openalex.org/W2099975513","https://openalex.org/W2117133527","https://openalex.org/W2124776405","https://openalex.org/W2140040630"],"related_works":["https://openalex.org/W4282839226","https://openalex.org/W4306321456","https://openalex.org/W4283016678","https://openalex.org/W3011192796","https://openalex.org/W3204641204","https://openalex.org/W4225166535","https://openalex.org/W2908849530","https://openalex.org/W4200459988","https://openalex.org/W2782789473","https://openalex.org/W4213165337"],"abstract_inverted_index":{"Use":[0],"of":[1,5,19,23,48,70,101,103,115,122],"gene":[2,72],"expression":[3],"profile":[4],"an":[6,24],"animal":[7,25,59],"under":[8],"a":[9,42],"certain":[10],"disease":[11,67],"gives":[12],"pre-clinical":[13],"insights":[14],"for":[15,94,120],"the":[16,29,34,58,65,95],"potential":[17],"efficacy":[18],"novel":[20],"drugs.":[21],"Selection":[22],"model,":[26],"accurately":[27,63],"resembling":[28],"human":[30,66],"disease,":[31],"profoundly":[32],"reduces":[33],"research":[35],"cost":[36,110],"in":[37,52,68,81],"resources":[38],"and":[39,86,92,108,111,113],"time.":[40],"Here,":[41],"statistical":[43],"procedure":[44,100],"based":[45],"on":[46],"analysis":[47],"variance":[49],"(ANOVA)":[50],"defined":[51],"[1]":[53],"is":[54,106,118],"investigated":[55],"to":[56],"select":[57],"model":[60],"that":[61],"most":[62],"mimics":[64],"terms":[69],"genome-wide":[71],"expression.":[73],"Two":[74],"other":[75],"commonly":[76],"used":[77],"data":[78,97],"fitting":[79],"algorithms":[80,105],"machine":[82],"learning,":[83],"logistic":[84],"regression":[85],"artificial":[87],"neural":[88],"networks":[89],"are":[90],"examined":[91],"analyzed":[93],"same":[96],"set.":[98],"Implementing":[99],"each":[102,116],"these":[104],"discussed":[107],"computational":[109],"advantage":[112],"drawback":[114],"algorithm":[117],"scrutinized":[119],"prediction":[121],"pediatric":[123],"Medulloblastoma":[124],"cancer":[125],"type.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-12-04T23:47:47.292601","created_date":"2025-10-10T00:00:00"}
