paperKB
coga / coga-kb
Help
Sign in

Chunk #33 — Implementation — Interpretation of percent variance explained

Source
variancePartition: interpreting drivers of variation in complex gene expression studies.
Embedded
yes

Text

The correlation between samples from different individuals is: 17\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$\begin{array}{@{}rcl@{}} &=& cor(y_{1,1}, y_{1,2}) \end{array} $$ \end{document}=cor(y1,1,y1,2)