Brian O’Roak uses genomic approaches to unlock the genetic basis of neurodevelopmental disorders such as autism and intellectual disability.
Brian O’Roak
Associate professor of molecular and medical genetics
Oregon Health and Science University
From this contributor
How I learned to stop worrying and love preprints
Preprints are gaining traction in biology, but some researchers have lingering concerns. Should they?
Burning debate: What’s the best way to nab real autism genes?
How to best use a large volume of data to discover new genetic risk factors for autism is a matter of intense debate, particularly in light of historical challenges.
Burning debate: What’s the best way to nab real autism genes?
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Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.