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 ...
What Is A Recurrent Neural Network (RNN)? Recurrent Neural Networks (RNNs) are artificial neural networks designed to handle sequential data like text, speech or financial records. Unlike traditional ...
Risk Factors of Hyperglycemia After Treatment With the AKT Inhibitor Ipatasertib in the Prostate Cancer Setting: A Machine Learning–Based Investigation We analyzed a metastatic cancer patient cohort ...
A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of ...
Some of you may remember that the ship’s computer on Star Trek: Voyager contained bioneural gel packs. Researchers have taken us one step closer to a biocomputing future with a study on the potential ...
Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically ...
What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.
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