Find open-source science resources

This Package utilizes a Semi-parametric Differential Abundance/expression analysis (SDA) method for metabolomics and proteomics data from mass spectrometry as well as single-cell RNA sequencing data. SDA is able to robustly handle non-normally distributed data and provides a clear quantification of the effect size.

This package provide simulation based methods for evaluating the statistical power in differential expression analysis from RNA-seq data.

The package contains functions for inferece of target gene regulation by miRNA, based on only target gene expression profile.

Integrative pipeline for the analysis of alternative splicing using RNAseq.