Simulation and inference of gene regulatory networks based on transcriptional bursting
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Updated
May 30, 2024 - Python
Simulation and inference of gene regulatory networks based on transcriptional bursting
Depicting pseudotime-lagged causality for accurate gene-regulatory inference
A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.
Python package for estimating GRNs with Bayesian networks.
Source code for the paper "Fast and Accurate Inference of Gene Regulatory Networks through Robust Precision Matrix Estimation", by Passemiers et al.
Automated analysis tool for mutations in promoters, transcription factor binding sites, coding regions and protein domains in the context of gene regulatory networks.
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