A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...
Sometimes, in genetics, two wrongs do make a right. A research team has recently shown that two harmful genetic variants, ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
The current version of the human reference genome, GRCh38, contains a number of errors including 1.2 Mbp of falsely duplicated and 8.04 Mbp of collapsed regions. These errors impact the variant ...
Background Foodborne diseases are an important cause of global morbidity and mortality, particularly among children who often ...
Introduction The increasing incidence of type 2 diabetes mellitus (T2DM) among women of reproductive age poses significant health risks for both mothers and their fetuses. Optimising blood glucose ...
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