Description: Computation of Quantitative Trait Loci hits in the selected gene set. Performing gene set validation with Quantitative Trait Loci information. Performing gene set enrichment analysis with available Quantitative Trait Loci data and computation of statistical significance value from gene set analysis. Obtaining the list of Quantitative Trait Loci hit genes along with their overlapped Quantitative Trait Loci names.
Packaged: 2016-09-08 09:08:07 UTC; samarendra

Title: Gene Set Analysis with Fisher Combined Method
Maintainer: Carlos Garcia Prieto <carlosantonio.garcia@uvic.cat>
Description: Provides the p-value for a joint test of association between a phenotype and a set of genetic variants (SNPs) by combining marginal p-values using the Fisher method. See Fisher, R.A. (1925,ISBN:0-05-002170-2) Statistical Methods for Research Workers.
Packaged: 2018-06-24 13:41:53 UTC; carlosgarciaprieto

Title: Gene Set Analysis using the Gamma Method
Description: GSAgm is an R package that completes a self-contained gene set analysis (GSA) for RNA-seq and SNP data using the Gamma Method.

Title: Implementing GSCAD Method for Image Denoising and Inpainting
person("Simeng", "Qu", email = "simengqu@gmail.com", role =c("aut", "cre")),
person("Xiao", "Wang", email = "wangxiao@purdue.edu", role = "aut"))
Description: Method proposed in "Simultaneous Sparse Dictionary Learning and Pruning" ( Qu and Wang (2016) <arXiv:1605.07870>) is implemented. The idea is to conduct a linear decomposition of a signal using a few atoms of a learned and usually over-completed dictionary instead of a pre-defined basis. A proper size of the to-be-learned dictionary is determining at the same time during the procedure. Application includes image denoising and image inpainting.

Title: Gene Set Distance Analysis (GSDA)
Authors@R: c(person("Xueyuan", "Cao", email = "xcao12@uthsc.edu", role = c("aut", "cre")),
person("Stanley", "Pounds", email = "stanley.pounds@stjude.org", role = c("aut")))
Description: The gene-set distance analysis of omic data is implemented by generalizing distance correlations to evaluate the association of a gene set with categorical and censored event-time variables.
biocViews: Microarray, Bioinformatics, Gene expression