Cargando…
Multi-TGDR: A Regularization Method for Multi-Class Classification in Microarray Experiments
BACKGROUND: As microarray technology has become mature and popular, the selection and use of a small number of relevant genes for accurate classification of samples has arisen as a hot topic in the circles of biostatistics and bioinformatics. However, most of the developed algorithms lack the abilit...
Autores principales: | Tian, Suyan, Suárez-Fariñas, Mayte |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3833980/ https://www.ncbi.nlm.nih.gov/pubmed/24260109 http://dx.doi.org/10.1371/journal.pone.0078302 |
Ejemplares similares
-
Multi-TGDR, a multi-class regularization method, identifies the metabolic profiles of hepatocellular carcinoma and cirrhosis infected with hepatitis B or hepatitis C virus
por: Tian, Suyan, et al.
Publicado: (2014) -
GEE-TGDR: A Longitudinal Feature Selection Algorithm and Its Application to lncRNA Expression Profiles for Psoriasis Patients Treated with Immune Therapies
por: Tian, Suyan, et al.
Publicado: (2021) -
Combining Clinical and Genomic Covariates via Cov-TGDR
por: Ma, Shuangge, et al.
Publicado: (2007) -
"Harshlighting" small blemishes on microarrays
por: Suárez-Fariñas, Mayte, et al.
Publicado: (2005) -
A Bioequivalence Test by the Direct Comparison of Concentration-versus-Time Curves Using Local Polynomial Smoothers
por: Tian, Suyan, et al.
Publicado: (2016)