jackstraw 1.3 – Non-parametric Jackstraw for Principal Component Analysis

jackstraw 1.3

:: DESCRIPTION

Jackstraw is a new approach that allows one to accurately identify genomic variables that are statistically significantly associated with any subset or linear combination of principal components (PCs).

::DEVELOPER

STOREY LAB | Princeton University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • R

:: DOWNLOAD

 Jackstraw

:: MORE INFORMATION

Citation

Bioinformatics. 2014 Oct 21. pii: btu674.
Statistical Significance of Variables Driving Systematic Variation in High-Dimensional Data.
Chung NC1, Storey JD

PCAtag 2.1 – Selecte Tagging-SNPs using Principal Component Analysis

PCAtag 2.1

:: DESCRIPTION

PCAtag is a software that performs tSNP selection using principal component analysis (PCA).

::DEVELOPER

Genetic Epidemiology, University of Utah

:: SCREENSHOTS

N/A

::REQUIREMENTS

:: DOWNLOAD

 PCAtag

:: MORE INFORMATION

Citation

Principal component analysis for selection of optimal SNP-sets that capture intragenic genetic variation.
Horne BD, Camp NJ.
Genet Epidemiol. 2004 Jan;26(1):11-21.