Learn R Programming

nudge (version 1.38.0)

Normal Uniform Differential Gene Expression detection

Description

Package for normalizing microarray data in single and multiple replicate experiments and fitting a normal-uniform mixture to detect differentially expressed genes in the cases where the two samples are being compared directly or indirectly (via a common reference sample)

Copy Link

Version

Version

1.38.0

License

GPL-2

Maintainer

Nema Dean

Last Published

February 15th, 2017

Functions in nudge (1.38.0)

norm1c

Function for normalizing the mean of average-across-replicates log ratios
like

Microarray intensity expression levels for like-like data
nudge2

Function for normalizing data, fitting a normal-uniform mixture and estimating probabilities of differential expression in the case where the two samples are being compared indirectly through a common reference sample
neg.contr

Indicator of known truly non differentially expressed genes in the hiv dataset
hiv

Microarray intensity expression levels for HIV type 1 infection of CD4+ T-Cell lines
norm2d

Function for normalizing the mean and variance of average-across-replicates log ratio differences
nudge1

Function for normalizing data, fitting a normal-uniform mixture and estimating probabilities of differential expression in the case where the two samples are being compared directly
norm1b

Function for normalizing the mean and variance (or just the variance) of single replicate log ratios
norm1a

Function for normalizing the mean of single replicate log ratios
norm1d

Function for normalizing the mean and variance of average-across-replicates log ratios
pos.contr

Indicator of known truly differentially expressed genes in the hiv dataset
norm2c

Function for normalizing the mean of average-across-replicates log ratio differences