getExpression(alignFile, trSeqFile, outPrefix=NULL, uniform=TRUE, type="RPKM", log=FALSE, limitA=NULL, seed=NULL, pretend=FALSE, ... )
theta
, RPKM
, counts
, tau
.estimateExpression
, please see estimateExpression
for more detailslist
with items:
DataFrame
with transcript expression mean and standard deviationDataFrame
with transcript information, contains: transcript name, possibly gene name, transcript length, and adjusted transcript lengthparseAlignment
function to compute alignment probabilities and the function estimateExpression
to produce the expression samples.In case of non-uniform read distribution, it first produces approximate estimates of expression using uniform read distribution with VB inference and subsequently uses these estimates to compute read distribution bias-corrected alignment probabilities, which are used in the estimateExpression
function to produce expression estimates.
The order of transcripts in the results is always the same as in the alignment file. The transcripts can be identified by names stored in the trInfo
part of the result.
getDE
, estimateExpression
, parseAlignment