Cargando…
Identification of Genes Discriminating Multiple Sclerosis Patients from Controls by Adapting a Pathway Analysis Method
The focus of analyzing data from microarray experiments has shifted from the identification of associated individual genes to that of associated biological pathways or gene sets. In bioinformatics, a feature selection algorithm is usually used to cope with the high dimensionality of microarray data....
Autores principales: | Zhang, Lei, Wang, Linlin, Tian, Pu, Tian, Suyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112852/ https://www.ncbi.nlm.nih.gov/pubmed/27846233 http://dx.doi.org/10.1371/journal.pone.0165543 |
Ejemplares similares
-
Identification of Monotonically Differentially Expressed Genes for IFN-β-Treated Multiple Sclerosis Patients
por: Tian, Suyan, et al.
Publicado: (2019) -
Classification of Non-Small Cell Lung Cancer Using Significance Analysis of Microarray-Gene Set Reduction Algorithm
por: Zhang, Lei, et al.
Publicado: (2016) -
Corrigendum to “Classification of Non-Small Cell Lung Cancer Using Significance Analysis of Microarray-Gene Set Reduction Algorithm”
por: Zhang, Lei, et al.
Publicado: (2018) -
Feature selection based on differentially correlated gene pairs reveals the mechanism of IFN-β therapy for multiple sclerosis
por: Jin, Tao, et al.
Publicado: (2020) -
To select relevant features for longitudinal gene expression data by extending a pathway analysis method
por: Tian, Suyan, et al.
Publicado: (2018)