Predicting mRNA Abundance Directly from Genomic Sequence Using Deep Convolutional Neural Networks

Predicting mRNA Abundance Directly from Genomic Sequence Using Deep Convolutional Neural Networks

Summary: Algorithms that accurately predict gene structure from primary sequence alone were transformative for annotating the human genome. Can we also predict the expression levels of genes based solely on genome sequence? Here, we sought to apply deep convolutional neural networks toward that goal...

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Bibliographic Details
Main Authors: Vikram Agarwal, Jay Shendure
Format: Article
Language:English
Published: Elsevier 2020-05-01
Series:Cell Reports
Subjects:
deep learning
predicting gene expression
gene regulation
Online Access:http://www.sciencedirect.com/science/article/pii/S2211124720306161

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http://www.sciencedirect.com/science/article/pii/S2211124720306161

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