Christopher B. Cole

Enigma is an efficient regulatory genomics model that achieves competitive performance with state-of-the-art models while significantly reducing computational cost.

This paper introduces REPRESS, a deep learning model that predicts cell-type-specific microRNA binding and mRNA degradation from RNA sequences, outperforming existing methods in multiple tasks.

The paper introduces BigRNA, an RNA foundation model that predicts RNA biology from DNA sequence and identifies therapeutic effects of SBOs on gene expression and splicing.

The paper uses a Bayesian method to infer ancient demographic events and finds evidence of migration from Eurasian ancestors into Africa 40-70 thousand years ago.

The paper introduces goldi, an R package for identifying ontological terms in text, using word matching and an acceptance function.