pcaGoPromoter - An R Package for Biological and Regulatory Interpretation of Principal Components in Genome-Wide Gene Expression Data
Analyzing data obtained from genome-wide gene expression experiments is challenging due to the quantity of variables, the need for multivariate analyses, and the demands of managing large amounts of data. Here we present the R package pcaGoPromoter, which facilitates the interpretation of genome-wid...
Main Authors: | Hansen, Morten, Gerds, Thomas Alexander, Nielsen, Ole Haagen, Seidelin, Jakob Benedict, Troelsen, Jesper Thorvald, Olsen, Jørgen |
---|---|
Format: | Online |
Language: | English |
Published: |
Public Library of Science
2012
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3288097/ |
Similar Items
-
Identification of TNF-α-Responsive Promoters and Enhancers in the Intestinal Epithelial Cell Model Caco-2
by: Boyd, Mette, et al.
Published: (2014) -
Impact of T300A Variant of ATG16L1 on Antibacterial Response, Risk of Culture Positive Infections, and Clinical Course of Crohn's Disease
by: Salem, Mohammad, et al.
Published: (2015) -
Kernel-PCA data integration with enhanced interpretability
by: Reverter, Ferran, et al.
Published: (2014) -
PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm
by: Gu, Feng, et al.
Published: (2009) -
Model recognition by using Principal Component Analysis (PCA) approach
by: Ud-Doulah, Md. Siraj, et al.
Published: (2014)