Biology has yet to tap into the full benefits of computer simulations, but a new AI foundation model developed by a team of scientists including CMU's Eric Xing hopes to change that.
An AI foundation model capable of predicting gene activity across many different human cell types may expedite research for genetic disorders, cancer, and complex diseases.
A new predictive AI system has been developed to predict gene activity in human cells with high precision. Researchers at Columbia University Vagelos College of Physicians and Surgeons, led by Raul ...
Our research in this area includes uncovering fundamental mechanisms that regulate how genes are turned on and off in normal cells and how the misregulation of these mechanisms can lead to cancer, as ...
The authors present new expression analysis software (TEKRABber) to help analyze expression correlations between transposable elements (TEs) and KRAB zinc finger (KRAB-ZNF) genes in experimentaly ...