Inference of Gene Regulatory Networks from Bulk and Single Cell Omic Datasets

Intro
What is a regulatory network
Why do regulatory networks matter?
Expperimental techniques for mapping regulatory network components
Paradigms of network inference
Expression-based network inference basic principle
A non-exhaustive list of expression-based network inference method
Milestones in expression-based GRN inference
Integrative expression-based network inference
Prior-based approaches for network inference
Methods for incorporating auxiliary data
Inferelator: A parameter prior-based network inference algorithm
Modified Elastic Net (MEN)
MERLIN+P: A structure prior-based network inference algorithm
Network component analysis (NCA) for TFA estimation
A non-exhaustive list of integrative network inference methods
Basic principle of predictive models of expression
Inferring GRNs using predictive models of expression
Using Predictive models to identify regulators of early lineage commitment
Transcriptional dynamics during cellular reprogramming
Expression-based GRN inference vs Predictive models of expression
Single cell genomics is revolutionizing biology
Classes of network inference algorithms
Incorporating accessibility for single cell GRN inference
Symphony