2 resultados para Wavelet Packet and Support Vector Machine
em Collection Of Biostatistics Research Archive
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (1)
- Aberdeen University (2)
- Abertay Research Collections - Abertay University’s repository (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (10)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (7)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archive of European Integration (4)
- Aston University Research Archive (27)
- Biblioteca de Teses e Dissertações da USP (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (11)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (28)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (2)
- Biodiversity Heritage Library, United States (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (14)
- Brock University, Canada (4)
- Bulgarian Digital Mathematics Library at IMI-BAS (3)
- CentAUR: Central Archive University of Reading - UK (38)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (3)
- Cochin University of Science & Technology (CUSAT), India (13)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (16)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (26)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (7)
- Digital Archives@Colby (1)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons at Florida International University (15)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (4)
- DigitalCommons@University of Nebraska - Lincoln (3)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (23)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Glasgow Theses Service (2)
- Harvard University (1)
- Institute of Public Health in Ireland, Ireland (23)
- Instituto Politécnico do Porto, Portugal (25)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (2)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (2)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (20)
- National Center for Biotechnology Information - NCBI (4)
- Nottingham eTheses (2)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (3)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (13)
- Repositório da Produção Científica e Intelectual da Unicamp (2)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- REPOSITORIO DIGITAL IMARPE - INSTITUTO DEL MAR DEL PERÚ, Peru (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade de Brasília (3)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (59)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (17)
- School of Medicine, Washington University, United States (1)
- Scielo España (2)
- Scielo Saúde Pública - SP (41)
- Scielo Uruguai (1)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (3)
- Universidad de Alicante (7)
- Universidad del Rosario, Colombia (3)
- Universidad Politécnica de Madrid (26)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade do Minho (11)
- Universidade Federal de Uberlândia (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (14)
- Universitat de Girona, Spain (1)
- Université de Lausanne, Switzerland (125)
- Université de Montréal (1)
- Université de Montréal, Canada (9)
- Université Laval Mémoires et thèses électroniques (1)
- University of Canberra Research Repository - Australia (2)
- University of Michigan (28)
- University of Queensland eSpace - Australia (83)
- University of Southampton, United Kingdom (1)
- University of Washington (4)
Resumo:
High-throughput gene expression technologies such as microarrays have been utilized in a variety of scientific applications. Most of the work has been on assessing univariate associations between gene expression with clinical outcome (variable selection) or on developing classification procedures with gene expression data (supervised learning). We consider a hybrid variable selection/classification approach that is based on linear combinations of the gene expression profiles that maximize an accuracy measure summarized using the receiver operating characteristic curve. Under a specific probability model, this leads to consideration of linear discriminant functions. We incorporate an automated variable selection approach using LASSO. An equivalence between LASSO estimation with support vector machines allows for model fitting using standard software. We apply the proposed method to simulated data as well as data from a recently published prostate cancer study.