Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities

29 January 2019

Papers citing "Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities"

9 / 9 papers shown

Title
Troubling Trends in Machine Learning Scholarship Zachary Chase Lipton Jacob Steinhardt 46 290 0 09 Jul 2018
Dilated Convolutions for Modeling Long-Distance Genomic Dependencies Ankit Gupta Alexander M. Rush 54 57 0 03 Oct 2017
On the State of the Art of Evaluation in Neural Language Models Gábor Melis Chris Dyer Phil Blunsom 68 535 0 18 Jul 2017
DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins H. Hassanzadeh May D. Wang 44 127 0 17 Nov 2016
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 268 8,446 0 23 Nov 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 591 12,713 0 11 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 437 20,568 0 10 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 251 6,779 0 03 Sep 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 397 33,529 0 16 Oct 2013