Exploring neuroimaging using machine learning

Neuroimaging, ways of understanding how the brain produces images, produces sets of data that are high-dimensional and complicated. Ways of interpreting this data provides the means for understanding how the brain encodes and decodes images. In this context, encoding refers to predicting the imaging data given external variables, such as stimuli descriptors and decoding refers … Continue reading Exploring neuroimaging using machine learning

SeqAcademy: An educational pipeline for RNA-Seq and ChIP-Seq analysis

I'm proud to announce the launch of SeqAcademy.org, a website to teach others RNA-Seq and ChIP-Seq analysis even with no prior programming experience.This project was the result of the NIH April Data Science Hackathon, at which researchers from across the globe met to work on projects here at the NIH. Our group created SeqAcademy, an … Continue reading SeqAcademy: An educational pipeline for RNA-Seq and ChIP-Seq analysis