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Using a neural network originally developed for computer vision, the researchers have developed a deep learning toolkit that can help scientists study rare cell types and possibly identify mutations that make people more vulnerable to diseases.  The new deep learning toolkit, called AtacWorks, allows us to study how diseases and genomic variation influence very specific types of cells of the human body, Nvidia researcher Avantika Lal, lead author on the paper, told reporters last week. And this will enable previously impossible biological discovery, and we hope would also contribute to the discovery of new drug targets.   AtacWorks, featured in Nature Communications, works with ATAC-seq a popular method for finding the parts of the human genome that are accessible in cells. 

Avantika lalNature communicationsSoftware hubNvidia tensor coreஅவந்திகா லால்இயற்கை தகவல்தொடர்புகள்மென்பொருள் மையம்