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Haoyang Zeng

Showing results (1-10 of 23) with videos related to

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Nucleic Acids Research|March 24, 2017
Predicting the impact of non-coding variants on DNA methylationHaoyang Zeng, David K Gifford
Bioinformatics (Oxford, England)|September 13, 2019
DeepLigand: accurate prediction of MHC class I ligands using peptide embeddingHaoyang Zeng, David K Gifford
Cell Systems|June 10, 2019
Quantification of Uncertainty in Peptide-MHC Binding Prediction Improves High-Affinity Peptide Selection for Therapeutic DesignHaoyang Zeng, David K Gifford
BMC Bioinformatics|July 21, 2019
Visualizing complex feature interactions and feature sharing in genomic deep neural networksGe Liu, Haoyang Zeng, David K Gifford
Scientific Reports|March 30, 2025
Effect of SiO<sub>2</sub> aerogel and perlite on properties of foamed concreteWanying Qu, Kailu Liu, Haoyang Zeng, et al.
Bioinformatics (Oxford, England)|October 19, 2015
GERV: a statistical method for generative evaluation of regulatory variants for transcription factor bindingHaoyang Zeng, Tatsunori Hashimoto, Daniel D Kang, et al.
Human Mutation|February 23, 2017
Accurate eQTL prioritization with an ensemble-based frameworkHaoyang Zeng, Matthew D Edwards, Yuchun Guo, et al.
Bioinformatics (Oxford, England)|June 17, 2016
Convolutional neural network architectures for predicting DNA-protein bindingHaoyang Zeng, Matthew D Edwards, Ge Liu, et al.
Genome Research|April 15, 2018
A novel <i>k</i>-mer set memory (KSM) motif representation improves regulatory variant predictionYuchun Guo, Kevin Tian, Haoyang Zeng, et al.
Plos One|July 24, 2014
Mining TCGA data using Boolean implicationsSubarna Sinha, Emily K Tsang, Haoyang Zeng, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Nucleic Acids Research|March 24, 2017
Predicting the impact of non-coding variants on DNA methylationHaoyang Zeng, David K Gifford
Bioinformatics (Oxford, England)|September 13, 2019
DeepLigand: accurate prediction of MHC class I ligands using peptide embeddingHaoyang Zeng, David K Gifford
Cell Systems|June 10, 2019
Quantification of Uncertainty in Peptide-MHC Binding Prediction Improves High-Affinity Peptide Selection for Therapeutic DesignHaoyang Zeng, David K Gifford
BMC Bioinformatics|July 21, 2019
Visualizing complex feature interactions and feature sharing in genomic deep neural networksGe Liu, Haoyang Zeng, David K Gifford
Scientific Reports|March 30, 2025
Effect of SiO<sub>2</sub> aerogel and perlite on properties of foamed concreteWanying Qu, Kailu Liu, Haoyang Zeng, et al.
Bioinformatics (Oxford, England)|October 19, 2015
GERV: a statistical method for generative evaluation of regulatory variants for transcription factor bindingHaoyang Zeng, Tatsunori Hashimoto, Daniel D Kang, et al.
Human Mutation|February 23, 2017
Accurate eQTL prioritization with an ensemble-based frameworkHaoyang Zeng, Matthew D Edwards, Yuchun Guo, et al.
Bioinformatics (Oxford, England)|June 17, 2016
Convolutional neural network architectures for predicting DNA-protein bindingHaoyang Zeng, Matthew D Edwards, Ge Liu, et al.
Genome Research|April 15, 2018
A novel <i>k</i>-mer set memory (KSM) motif representation improves regulatory variant predictionYuchun Guo, Kevin Tian, Haoyang Zeng, et al.
Plos One|July 24, 2014
Mining TCGA data using Boolean implicationsSubarna Sinha, Emily K Tsang, Haoyang Zeng, et al.
Pageof 3