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