An "oracle" for predicting the evolution of gene regulation

Computational biologists created a neural network model capable of predicting how changes to non-coding DNA sequences in yeast affect gene expression. They also devised a unique way of representing this data in two dimensions.

Related Keywords

United Kingdom , Edinburgh , City Of , British , Martin Taylor , Eeshit Dhaval Vaishnav , Aviv Regev , Broad Institute Of Harvard , Early Development , University Of British Columbia , Genentech Research , Broad Institute , Carl De Boer , British Columbia , Medical Research Council Human Genetics Unit , Broad Institute Of Mit And Harvard , Non Coding Dna , Ene Expression , Fitness Landscapes , Gene Therapy , Mit Biology ,