Cross-species regulatory sequence activity prediction.

Abstract excerpt

Machine learning algorithms trained to predict the regulatory activity of nucleic acid sequences have revealed principles of gene regulation and guided genetic variation analysis. While the human genome has been extensively annotated and studied, model organisms have been less explored. Model organism genomes offer both additional training sequences and unique annotations describing tissue and cell states...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Genome, Human
• Share to Hepatocytes
• Share to Machine Learning