Cargando…
GEE-TGDR: A Longitudinal Feature Selection Algorithm and Its Application to lncRNA Expression Profiles for Psoriasis Patients Treated with Immune Therapies
With the fast evolution of high-throughput technology, longitudinal gene expression experiments have become affordable and increasingly common in biomedical fields. Generalized estimating equation (GEE) approach is a widely used statistical method for the analysis of longitudinal data. Feature selec...
Autores principales: | Tian, Suyan, Wang, Chi, Suarez-Farinas, Mayte |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053058/ https://www.ncbi.nlm.nih.gov/pubmed/33928163 http://dx.doi.org/10.1155/2021/8862895 |
Ejemplares similares
-
Multi-TGDR: A Regularization Method for Multi-Class Classification in Microarray Experiments
por: Tian, Suyan, et al.
Publicado: (2013) -
An ensemble of the iCluster method to analyze longitudinal lncRNA expression data for psoriasis patients
por: Tian, Suyan, et al.
Publicado: (2021) -
Combining Clinical and Genomic Covariates via Cov-TGDR
por: Ma, Shuangge, et al.
Publicado: (2007) -
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) -
Dr Gee's Paediatrics: The Samuel Gee Lecture 1972
por: Tizard, J. P. M.
Publicado: (1973)