Tyler publishes a first author paper in Patterns

Congratulations to Tyler for the acceptance by¬†Patterns¬†of the paper “Essential Regression – a generalizable framework for inferring causal latent factors from multi-omic datasets“, which he is first co-author. The paper describes a new method to develop predictive causal models in high-dimensional, highly collinear data.

A pre-print of this paper can be found here. [bioRxiv]

Congratulations Tyler!

[2022-03-24] The article became available in the journal’s website. [here]