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…