{"id":"https://openalex.org/W1606996638","doi":"https://doi.org/10.1007/978-3-642-57489-4_7","title":"Supervised Learning from Microarray Data","display_name":"Supervised Learning from Microarray Data","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W1606996638","doi":"https://doi.org/10.1007/978-3-642-57489-4_7","mag":"1606996638"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-57489-4_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_7","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"},"type":"book-chapter","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/A5045744709","display_name":"Trevor Hastie","orcid":"https://orcid.org/0000-0002-0164-3142"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Trevor Hastie","raw_affiliation_strings":["Statistics Department and Department of Health, Research and Policy, Stanford University, CA, 94305, USA"],"affiliations":[{"raw_affiliation_string":"Statistics Department and Department of Health, Research and Policy, Stanford University, CA, 94305, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027340494","display_name":"Robert Tibshirani","orcid":"https://orcid.org/0000-0003-0553-5090"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Tibshirani","raw_affiliation_strings":["Department of Health, Research and Policy, Stanford University, CA, 94305, USA"],"affiliations":[{"raw_affiliation_string":"Department of Health, Research and Policy, Stanford University, CA, 94305, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025803819","display_name":"Balasubramanian Narasimhan","orcid":"https://orcid.org/0000-0001-5852-7639"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balasubramanian Narasimhan","raw_affiliation_strings":["Statistics Department, Stanford University, CA, 94305, USA"],"affiliations":[{"raw_affiliation_string":"Statistics Department, Stanford University, CA, 94305, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005971897","display_name":"Gilbert Chu","orcid":"https://orcid.org/0000-0002-8161-8448"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gilbert Chu","raw_affiliation_strings":["Departments of Biochemistry and Medical Oncology, Stanford University, CA, 94305, USA"],"affiliations":[{"raw_affiliation_string":"Departments of Biochemistry and Medical Oncology, Stanford University, CA, 94305, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045744709"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.14845095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9853000044822693,"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/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/centroid","display_name":"Centroid","score":0.7933765649795532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6272952556610107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6148543357849121},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.6051632165908813},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5948156118392944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.526290237903595},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4841459393501282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45485806465148926},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.43177276849746704},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4074038565158844},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.2055860459804535},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1924276053905487},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.1472439169883728},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13624411821365356}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7933765649795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6272952556610107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6148543357849121},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.6051632165908813},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5948156118392944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.526290237903595},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4841459393501282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45485806465148926},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.43177276849746704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4074038565158844},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.2055860459804535},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1924276053905487},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.1472439169883728},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13624411821365356},{"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:10.1007/978-3-642-57489-4_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_7","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W1727290854","https://openalex.org/W2046649434","https://openalex.org/W2135046866","https://openalex.org/W2138550913","https://openalex.org/W2150926065","https://openalex.org/W2157795344","https://openalex.org/W2158940042","https://openalex.org/W2912934387","https://openalex.org/W3215186461","https://openalex.org/W4294107304","https://openalex.org/W6808111085"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W4242386713","https://openalex.org/W2151191523","https://openalex.org/W115238348"],"abstract_inverted_index":{"Gene":[0],"expression":[1],"arrays":[2],"pose":[3],"challenging":[4],"problems":[5],"for":[6,31,51,69],"most":[7,67],"traditional":[8],"supervised":[9],"learning":[10],"techniques.":[11],"We":[12,22,91],"present":[13],"a":[14,25,36,62],"discussion":[15],"of":[16,18,38,64],"some":[17],"the":[19,39,65,82,93],"issues":[20],"involved.":[21],"then":[23],"propose":[24],"simple":[26],"approach":[27],"to":[28,87],"class":[29,47,70],"prediction":[30,58],"DNA":[32],"microarrays,":[33],"based":[34],"on":[35,95],"enhancement":[37],"nearest":[40],"centroid":[41],"classifier.":[42],"Our":[43],"technique":[44,94],"uses":[45],"soft-thresholded":[46],"centroids":[48],"as":[49,75],"prototypes":[50],"each":[52],"class.":[53],"The":[54,72],"shrinkage":[55],"improves":[56],"significantly":[57],"performance,":[59],"and":[60,84,89,106],"identifies":[61],"subset":[63],"genes":[66],"responsible":[68],"separation.":[71],"method":[73],"performs":[74],"well":[76],"or":[77],"better":[78],"than":[79],"competitors":[80],"from":[81,97],"literature,":[83],"is":[85],"easy":[86],"understand":[88],"interpret.":[90],"illustrate":[92],"data":[96],"three":[98],"studies:":[99],"small":[100],"round":[101],"blue":[102],"cell":[103],"tumors,":[104],"leukemia":[105],"breast":[107],"cancer.":[108]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
