Welcome to DEcode!
The goal of this project is to enable you to utilize genomic big data in identifying regulatory mechanisms for differential expression (DE).
DEcode predicts inter-tissue variations and inter-person variations in gene expression levels from TF-promoter interactions, RNABP-mRNA interactions, and miRNA-mRNA interactions.
You can read more about this method in this paper where we conducted a series of evaluation and applications by predicting transcript usage, drivers of aging DE, gene coexpression relationships on a genome-wide scale, and frequent DE in diverse conditions.
This tutorial shows you a way to run DEcode on Google Colab that provides you free access to a ready-to-use machine learning environment with a high-end GPU.
- Go to Google Colab and sign in to your Google account.
- Open Jupyter notebook.
- Menu -> File -> Open notebook -> GITHUB tab
- Run each block of code.