Data engineering and BI courses are free!
Rdocumentation
powered by
Learn R Programming
anapuce (version 2.3)
Tools for Microarray Data Analysis
Description
Functions for normalisation, differentially analysis of microarray data and local False Discovery Rate.
Copy Link
Link to current version
Version
Version
2.3
2.2
2.1
2.0
Install
install.packages('anapuce')
Monthly Downloads
42
Version
2.3
License
GPL-2
Maintainer
J Aubert
Last Published
February 5th, 2019
Functions in anapuce (2.3)
Search all functions
rowVars
Form row variances
spleen
Spleen Data set
apo
Apo AI data
filterByDefault
Filter applied on data before normalisation
fonctionMobile
fonctionMobile
lissageMM
Mean Average Smoothing
mixgamma
Gamma mixture
Intensity.Norm
Function to compute normalized intensity for each channel
MeanBySpot
Mean By Spot
est.varmixt
Variance Mixture Estimation
LocalFDR
Local FDR
LBI
Label Bias Index
fdr.estimate.eta0
Estimate the Proportion of Null p-Values
DiffAnalysis
Differential Analysis for paired data
FileChoice
Function to choose the files to analyze
DiffAnalysis.unpaired
Differential Analysis for unpaired data
normalisation
Function to normalize microarray data
