API for neellab/simem
Prediction of differential gene essentiality from pooled phenotypic screens (eg: siRNA, shRNA, CRISPR/Cas9 screens) using linear mixed effect models.

Global functions
addPrecisionWeights Source code
addSignalProbWeights Source code
applyFDR Source code
assignWeightsToObservations Source code
combineResults Source code
extractData Source code
fitAnova Source code
fitIsogenicCovariateGene Source code
fitIsogenicCovariateRg Source code
fitModel Source code
fitModelAndFormatOutput Source code
fitPanelCovariateGene Source code
fitPanelCovariateRg Source code
fitSimplerRandomEffects Source code
formatOutput Source code
getDefaultVariableMap Source code
getMeanSd Source code
getMeanVar Source code
getMinimalSummary Source code
getModelFormulas Source code
getModelPValues Source code
getRelativeDropout Source code
getRelativeDropoutRates Source code
getReplicateMeanVar Source code
getSignalProb Source code
getVarianceWeights Source code
loadMeanVar Source code
pvaluesNorm Source code
pvaluesT Source code
resetFactorLevels Source code
simem Source code
simemAnalysis Source code
simemChunk Source code
simemIsogenic Source code
standardizeColumnNames Source code
summaryAnova Source code
summaryFitEffectCoefs Source code
summaryFitLogLik Source code
tryCatchWarningsErrors Source code
volcanoPlot Source code
withinBetweenDF Source code
neellab/simem documentation built on May 23, 2017, 11:38 a.m.