Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
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
BMC Genomics|June 5, 2019
LtrDetector: A tool-suite for detecting long terminal repeat retrotransposons de-novoJoseph D Valencia, Hani Z Girgis
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
Frontiers in Molecular Biosciences|February 10, 2022
Predicting Drosha and Dicer Cleavage Sites with DeepMirCutJimmy Bell, 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
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.
Pageof 4