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David A Hendrix

Showing results (1-10 of 36) with videos related to

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Bioinformatics (Oxford, England)|March 14, 2025
bpRNA-CosMoS: a robust and efficient RNA structural comparison method using k-mer based cosine similarityBrittany Lasher, David A Hendrix
RNA (New York, N.Y.)|February 9, 2023
bpRNA-align: improved RNA secondary structure global alignment for comparing and clustering RNA structuresBrittany Lasher, David A Hendrix
Frontiers in Molecular Biosciences|February 10, 2022
Predicting Drosha and Dicer Cleavage Sites with DeepMirCutJimmy Bell, David A Hendrix
Biorxiv : the Preprint Server for Biology|April 17, 2023
Improving deep models of protein-coding potential with a Fourier-transform architecture and machine translation taskJoseph D Valencia, David A Hendrix
Plos Computational Biology|October 12, 2023
Improving deep models of protein-coding potential with a Fourier-transform architecture and machine translation taskJoseph D Valencia, David A Hendrix
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
A DEEP LEARNING APPROACH FOR CANCER DETECTION AND RELEVANT GENE IDENTIFICATIONPadideh Danaee, Reza Ghaeini, David A Hendrix
Science (New York, N.Y.)|September 6, 2008
Shadow enhancers as a source of evolutionary noveltyJoung-Woo Hong, David A Hendrix, Michael S Levine
Proceedings of the National Academy of Sciences of the United States of America|December 24, 2008
How the Dorsal gradient works: insights from postgenome technologiesJoung-Woo Hong, David A Hendrix, Dmitri Papatsenko, et al.
Nucleic Acids Research|July 10, 2018
A deep recurrent neural network discovers complex biological rules to decipher RNA protein-coding potentialSteven T Hill, Rachael Kuintzle, Amy Teegarden, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 29, 2008
Promoter elements associated with RNA Pol II stalling in the Drosophila embryoDavid A Hendrix, Joung-Woo Hong, Julia Zeitlinger, et al.
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|March 14, 2025
bpRNA-CosMoS: a robust and efficient RNA structural comparison method using k-mer based cosine similarityBrittany Lasher, David A Hendrix
RNA (New York, N.Y.)|February 9, 2023
bpRNA-align: improved RNA secondary structure global alignment for comparing and clustering RNA structuresBrittany Lasher, David A Hendrix
Frontiers in Molecular Biosciences|February 10, 2022
Predicting Drosha and Dicer Cleavage Sites with DeepMirCutJimmy Bell, David A Hendrix
Biorxiv : the Preprint Server for Biology|April 17, 2023
Improving deep models of protein-coding potential with a Fourier-transform architecture and machine translation taskJoseph D Valencia, David A Hendrix
Plos Computational Biology|October 12, 2023
Improving deep models of protein-coding potential with a Fourier-transform architecture and machine translation taskJoseph D Valencia, David A Hendrix
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
A DEEP LEARNING APPROACH FOR CANCER DETECTION AND RELEVANT GENE IDENTIFICATIONPadideh Danaee, Reza Ghaeini, David A Hendrix
Science (New York, N.Y.)|September 6, 2008
Shadow enhancers as a source of evolutionary noveltyJoung-Woo Hong, David A Hendrix, Michael S Levine
Proceedings of the National Academy of Sciences of the United States of America|December 24, 2008
How the Dorsal gradient works: insights from postgenome technologiesJoung-Woo Hong, David A Hendrix, Dmitri Papatsenko, et al.
Nucleic Acids Research|July 10, 2018
A deep recurrent neural network discovers complex biological rules to decipher RNA protein-coding potentialSteven T Hill, Rachael Kuintzle, Amy Teegarden, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 29, 2008
Promoter elements associated with RNA Pol II stalling in the Drosophila embryoDavid A Hendrix, Joung-Woo Hong, Julia Zeitlinger, et al.
Pageof 4