Package: awst 1.15.0

awst: Asymmetric Within-Sample Transformation

We propose an Asymmetric Within-Sample Transformation (AWST) to regularize RNA-seq read counts and reduce the effect of noise on the classification of samples. AWST comprises two main steps: standardization and smoothing. These steps transform gene expression data to reduce the noise of the lowly expressed features, which suffer from background effects and low signal-to-noise ratio, and the influence of the highly expressed features, which may be the result of amplification bias and other experimental artifacts.

Authors:Davide Risso [aut, cre, cph], Stefano Pagnotta [aut, cph]