{"id":"https://openalex.org/W4238595889","doi":"https://doi.org/10.1504/ijdmb.2016.10001626","title":"GeneRank-based partly adaptive group-penalised multinomial regression for microarray classification","display_name":"GeneRank-based partly adaptive group-penalised multinomial regression for microarray classification","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W4238595889","doi":"https://doi.org/10.1504/ijdmb.2016.10001626"},"language":"en","primary_location":{"id":"doi:10.1504/ijdmb.2016.10001626","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmb.2016.10001626","pdf_url":null,"source":{"id":"https://openalex.org/S35771696","display_name":"International Journal of Data Mining and Bioinformatics","issn_l":"1748-5673","issn":["1748-5673","1748-5681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining and Bioinformatics","raw_type":"journal-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/A5100657513","display_name":"Juntao Li","orcid":"https://orcid.org/0000-0002-3288-4395"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juntao Li","raw_affiliation_strings":["College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou 450002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I7726996"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109330961","display_name":"Wenpeng Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenpeng Dong","raw_affiliation_strings":["Henan Engineering Laboratory for Big Data Statistical Analysis and Optimal Control, School of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Engineering Laboratory for Big Data Statistical Analysis and Optimal Control, School of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, China","institution_ids":["https://openalex.org/I75955062"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2116128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"3","first_page":"252","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9884999990463257,"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":0.9884999990463257,"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/scad","display_name":"Scad","score":0.677534818649292},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.6540307402610779},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.6440248489379883},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6107648015022278},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.6026636958122253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44736623764038086},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.437751442193985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4194900393486023},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36672043800354004},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.35868972539901733},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3420867323875427},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33480966091156006},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.3295975923538208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31155407428741455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2632455825805664},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.24524137377738953},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1616654098033905}],"concepts":[{"id":"https://openalex.org/C2776857174","wikidata":"https://www.wikidata.org/wiki/Q7429613","display_name":"Scad","level":3,"score":0.677534818649292},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.6540307402610779},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.6440248489379883},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6107648015022278},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.6026636958122253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44736623764038086},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.437751442193985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4194900393486023},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36672043800354004},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.35868972539901733},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3420867323875427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33480966091156006},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.3295975923538208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31155407428741455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2632455825805664},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.24524137377738953},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1616654098033905},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijdmb.2016.10001626","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmb.2016.10001626","pdf_url":null,"source":{"id":"https://openalex.org/S35771696","display_name":"International Journal of Data Mining and Bioinformatics","issn_l":"1748-5673","issn":["1748-5673","1748-5681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining and Bioinformatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2784774275","https://openalex.org/W2184978910","https://openalex.org/W1917858188","https://openalex.org/W1492428813","https://openalex.org/W2899065510","https://openalex.org/W2170304139","https://openalex.org/W4299306949","https://openalex.org/W4308011238","https://openalex.org/W2544198685","https://openalex.org/W2160192270"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"partly":[4,39],"adaptive":[5,40],"group-penalised":[6,41],"multinomial":[7,42],"regression":[8,43],"for":[9,48],"gene":[10,21,25,64],"selection.":[11],"Weights":[12],"with":[13,24],"biological":[14],"significance":[15],"are":[16,53],"constructed":[17],"by":[18],"combing":[19],"the":[20,32,38,50,56,73,78,83],"expression":[22,65],"information":[23],"ontology":[26],"network":[27],"via":[28],"GeneRank.":[29],"By":[30],"introducing":[31],"weights":[33],"into":[34],"group":[35],"lasso":[36],"penalty,":[37],"is":[44],"proposed.":[45],"Two":[46],"algorithms":[47],"fitting":[49],"proposed":[51,74],"model":[52],"presented":[54],"on":[55,63],"base":[57],"of":[58,67],"blockwise":[59],"descent.":[60],"Experimental":[61],"results":[62],"data":[66],"yeast":[68],"diauxic":[69],"shift":[70],"demonstrate":[71],"that":[72],"method":[75],"can":[76],"select":[77],"stable":[79],"genes":[80],"and":[81],"achieve":[82],"better":[84],"classification":[85],"performance.":[86]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}