- Download this repository and download the "Data", "Annot" and "Results" folders from the Voineagu Lab website.
- Save all folders in the same directory.
- The codes in this repository are now executable.
This script generates gene-level quantification of RNASeq reads.
Job script if one wants to run geneCounts.R on HPC.
This file uses deconvolution methods to estimate the proportions of neurons in the micro-array samples before and after RUV.
This file performs differential expression analysis on RNASeq data.
This file adds annotations to micro-array data.
This file uses micro-array data to calculate the validation rate of the RNA-Seq differentially expressed genes - 74%.
Gene ontology analysis using goseq.