# Causal Discovery for Gene Regulatory Network Prediction

arXiv: https://arxiv.org/abs/2301.01110 · HTML: https://mlsanity.com/paper/2301.01110/

## Key facts

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- First posted on arXiv 3 Jan 2023.

## Abstract (arXiv)

Biological systems and processes are networks of complex nonlinear regulatory interactions between nucleic acids, proteins, and metabolites. A natural way in which to represent these interaction networks is through the use of a graph. In this formulation, each node represents a nucleic acid, protein, or metabolite and edges represent intermolecular interactions (inhibition, regulation, promotion, coexpression, etc.). In this work, a novel algorithm for the discovery of latent graph structures given experimental data is presented.