generate.ExpressionData

nSamples1

nSamples2

meanSamples

sdSamples

nFeatures

nFeaturesUp

nFeaturesDown

meanDynRange

sdDynRange

meanDiffAbund

sdDiffAbund

<p>this function generates artificial peptide abundance data with DA proteins
samples are drawn from a gaussian distribution</p>

A collection of functions for left-censored missing data imputation. Left-censoring is a special case of missing not at random (MNAR)  mechanism that generates non-responses in proteomics experiments. The package also contains functions to artificially generate peptide/protein expression data (log-transformed) as random draws from a multivariate Gaussian distribution as well as a function to generate missing data (both randomly and non-randomly). For comparison reasons, the package also contains several wrapper functions for the imputation of non-responses that are missing at random. * New functionality has been added: a hybrid method that allows the imputation of missing values in a more complex scenario where the missing data are both MAR and MNAR.

Samuel Wieczorek

imputeLCMD

A Collection of Methods for Left-Censored Missing Data
Imputation

Cosmin Lazar

Thomas Burger

generate.ExpressionData function

Generate expression data — generate.ExpressionData

Generate expression data

generate.ExpressionData: Generate expression data

Description

Usage

Arguments

Value