This series goes through why network inference is important in biology. Cell identity can be considered to be the expression of key transcription factors (TF) that regulate each other. This regulation builds a gene regulatory network (GRN). Figuring out which TFs connect to where, and how perturbations to the genes will affect cell identity, is a central problem across biology, from cancer to autoimmune disease to developmental disorders. If you are not familiar with GRN inference, this is a good place to start!

Posts in this series

1. GRN Inference Overview — Overview of this series
2. Part 1: The Why — Why are GRNs relevant?
3. Part 2: Network Structure and Dynamics — How do we interpret the structure and dynamics of a GRN?
4. Part 3: Using Data to Build a Network for Small Cell Lung Cancer — How do we build a GRN?

Want to use BooleaBayes yourself? Check out the package page or install it directly with pip install booleabayes.