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Daniel Quang

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

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Methods (San Diego, Calif.)|March 30, 2019
FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential dataDaniel Quang, Xiaohui Xie
Bioinformatics (Oxford, England)|February 18, 2014
EXTREME: an online EM algorithm for motif discoveryDaniel Quang, Xiaohui Xie
Nucleic Acids Research|April 17, 2016
DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequencesDaniel Quang, Xiaohui Xie
Genome Research|December 21, 2018
Anchor: trans-cell type prediction of transcription factor binding sitesHongyang Li, Daniel Quang, Yuanfang Guan
Bioinformatics (Oxford, England)|October 24, 2014
DANN: a deep learning approach for annotating the pathogenicity of genetic variantsDaniel Quang, Yifei Chen, Xiaohui Xie
Cancer Research|July 29, 2018
Network Propagation Predicts Drug Synergy in CancersHongyang Li, Tingyang Li, Daniel Quang, et al.
Bioinformatics (Oxford, England)|May 24, 2018
YAMDA: thousandfold speedup of EM-based motif discovery using deep learning libraries and GPUDaniel Quang, Yuanfang Guan, Stephen C J Parker
Radiology. Artificial Intelligence|April 14, 2020
Three-Plane-assembled Deep Learning Segmentation of GliomasShaocheng Wu, Hongyang Li, Daniel Quang, et al.
Micromachines|November 25, 2023
Thomson-Einstein's Tea Leaf Paradox Revisited: Aggregation in RingsKirill Kolesnik, Daniel Quang Le Pham, Jessica Fong, et al.
Arthritis & Rheumatology (Hoboken, N.J.)|July 26, 2019
Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic MarkersYuanfang Guan, Hongjiu Zhang, Daniel Quang, et al.
Pageof 1

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

Sort By:
Pageof 1
Methods (San Diego, Calif.)|March 30, 2019
FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential dataDaniel Quang, Xiaohui Xie
Bioinformatics (Oxford, England)|February 18, 2014
EXTREME: an online EM algorithm for motif discoveryDaniel Quang, Xiaohui Xie
Nucleic Acids Research|April 17, 2016
DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequencesDaniel Quang, Xiaohui Xie
Genome Research|December 21, 2018
Anchor: trans-cell type prediction of transcription factor binding sitesHongyang Li, Daniel Quang, Yuanfang Guan
Bioinformatics (Oxford, England)|October 24, 2014
DANN: a deep learning approach for annotating the pathogenicity of genetic variantsDaniel Quang, Yifei Chen, Xiaohui Xie
Cancer Research|July 29, 2018
Network Propagation Predicts Drug Synergy in CancersHongyang Li, Tingyang Li, Daniel Quang, et al.
Bioinformatics (Oxford, England)|May 24, 2018
YAMDA: thousandfold speedup of EM-based motif discovery using deep learning libraries and GPUDaniel Quang, Yuanfang Guan, Stephen C J Parker
Radiology. Artificial Intelligence|April 14, 2020
Three-Plane-assembled Deep Learning Segmentation of GliomasShaocheng Wu, Hongyang Li, Daniel Quang, et al.
Micromachines|November 25, 2023
Thomson-Einstein's Tea Leaf Paradox Revisited: Aggregation in RingsKirill Kolesnik, Daniel Quang Le Pham, Jessica Fong, et al.
Arthritis & Rheumatology (Hoboken, N.J.)|July 26, 2019
Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic MarkersYuanfang Guan, Hongjiu Zhang, Daniel Quang, et al.
Pageof 1