Author

Steven T. Hill

Oregon State University

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Bioinformatics· 1

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

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A.T. Teegarden· 1 shared David A. HendrixiD· 1 shared Erich Merrill· 1 shared Padideh Danaee· 1 shared Rachael KuintzleiD· 1 shared

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A.T. Teegarden

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Recent·Most cited

BioinformaticsNucleic Acids ResearchPeer-reviewedJun 15, 2018

A Deep Recurrent Neural Network Discovers Complex Biological Rules to Decipher RNA Protein-Coding Potential

Steven T. Hill, Rachael Kuintzle, A.T. Teegarden…·David A. Hendrix

The paper trains a deep recurrent neural network to predict RNA protein-coding potential, finding it outperforms existing methods and reveals context-sensitive codons predictive of coding potential.

102 citationstop 4%

humanlong-read sequencing

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