| getDE {BitSeq} | R Documentation |
Using expression samples, program estimates the probability of differential expression for each transcript.
getDE(conditions, outPrefix=NULL, samples=FALSE, trInfoFile=NULL,
norm=NULL, seed=NULL, pretend=FALSE )
conditions |
|
outPrefix |
Prefix for the output files. Otherwise program creates temporary files, which are only valid for current R session. |
samples |
Produce samples of condition mean expression apart from PPLR and confidence. |
trInfoFile |
Transcript information file providing the names of transcripts. |
norm |
Vector of (multiplicative) normalization constants for library size normalization of expression samples. Number of constants has to match the number of expression samples files. |
seed |
Sets the initial random seed for repeatable experiments. |
pretend |
Do not execute, only print out command line calls for the C++ version of the program. |
This function uses estimateHyperPar function to estimate the hyperparameters for DE model and the uses estimateDE function to infer the condition mean expression and calculate Probability of Positive Log Ratio.
list with items:
pplr |
|
fn |
|
Peter Glaus
getExpression, estimateHyperPar, estimateDE
## Not run:
cond1Files = c("data-c0b0.rpkm","data-c0b1.rpkm")
cond2Files = c("data-c1b0.rpkm","data-c1b1.rpkm")
deRes <- getDE( conditions=list(cond1Files, cond2Files))
## top 10 DE transcripts
head(deRes$pplr[ order(abs(0.5-deRes$pplr$pplr), decreasing=TRUE ), ], 10)
## End(Not run)