Autism Spectrum Disorder Risk Genes Predicted Using Machine-Learning Approach | GenomeWeb

NEW YORK (GenomeWeb) – Researchers at Princeton University have uncovered hundreds of candidate autism spectrum disorder risk genes, many of which are involved in similar biological pathways and are active during particular brain development stages.

Get the full story

This story is free
for registered users

Registering provides access to this and other free content.

Register now.

Already have an account?
Login Now.

In Science this week: metagenomic-based technique for determining protein structure, and more.

An academic laments the rise of narcissism in the sciences, the Guardian reports.

Outgoing FDA commissioner Robert Califf writes in an editorial that the agency can help boost innovation.

The Trump transition team has asked NIH Director Francis Collins to remain at his post, though it's unclear for how long that will be.