Peer Review #2 of "SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data (v0.1)"
Abstract:Deep learning has been increasingly and widely used to solve numerous problems in various fields with state-of-the-art performance. It can also be applied in bioinformatics to reduce the requirement for feature extraction and reach high performance. This study attempts to use deep learning to predict SNARE proteins, which is one of the most vital molecular functions in life science. A functional loss of SNARE proteins has been implicated in a variety of human diseases (e.g., neurodegenerative, mental illness, … Show more
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