We are thrilled to announce the publication of a new preprint, “Comparison and evaluation of methods to infer gene regulatory networks from multimodal single-cell data”, led by Pau Badia-i-Mompel as the first author, with contributions from Roger Casals and the Saez-Lab team.
In this work, we present Gene Regulatory nETwork Analysis (GRETA), a comprehensive framework designed to infer, compare, and evaluate gene regulatory networks (GRNs). Using GRETA, we benchmarked both multimodal and unimodal GRN inference methods, setting a foundation for future advancements in the field.
This preprint is an important step in understanding multiomic gene regulatory networks and reflects the collaborative efforts of the Saez-Lab, under the leadership of Julio Saez-Rodriguez.
Check out the results and tools here:
If you want to stay updated or join the discussion, check out our announcement on BlueSky.