calcZ

meanMat

sdMat


<code>calcZ</code> calculates the Z-score for each element based
on input mean and standard deviation matrices


Coordinated Gene Activity in Pattern Sets (CoGAPS)
implements a Bayesian MCMC matrix factorization algorithm,
GAPS, and links it to gene set statistic methods to infer biological
process activity.  It can be used to perform sparse matrix factorization on
any data, and when this data represents biomolecules, to do gene set
analysis.

Elana J Fertig

CoGAPS

Coordinated Gene Activity in Pattern Sets

calcZ function

<code>calcZ</code> calculates the Z-score for each element based
on input mean and standard deviation matrices

calcZ: `calcZ` calculates the Z-score for each element based on input mean and standard deviation matrices

Description

Usage

Arguments