Sai Zhang

发表

A deep learning framework for modeling structural features of RNA-binding protein targets

Jianyang Zeng, Sai Zhang, Jingtian Zhou, 2015, Nucleic acids research.

Analysis of Ribosome Stalling and Translation Elongation Dynamics by Deep Learning.

Jianyang Zeng, Sai Zhang, Jingtian Zhou, 2017, Cell systems.

ROSE: a deep learning based framework for predicting ribosome stalling

Jianyang Zeng, Tao Jiang, Sai Zhang, 2016, bioRxiv.

Modeling translation elongation dynamics by deep learning reveals new insights into the landscape of ribosome stalling

Jianyang Zeng, Sai Zhang, Jingtian Zhou, 2016 .

Characterizing RNA Pseudouridylation by Convolutional Neural Networks

Jianyang Zeng, Tao Jiang, Sai Zhang, 2017, bioRxiv.

Reconstructing spatial organizations of chromosomes through manifold learning

Jian Peng, Jianyang Zeng, Hailin Hu, 2018, Nucleic acids research.

GEM: A manifold learning based framework for reconstructing spatial organizations of chromosomes

Jian Peng, T. Kaplan, Jianyang Zeng, 2017, bioRxiv.

A Deep Boosting Based Approach for Capturing the Sequence Binding Preferences of RNA-Binding Proteins from High-Throughput CLIP-Seq Data

Chen Zhang, Jianyang Zeng, Sai Zhang, 2016, bioRxiv.

predicting translation initiation sites by deep learning.

Jianyang Zeng, Sai Zhang, Tao Jiang, 2017 .

Elastic restricted Boltzmann machines for cancer data analysis

Zhongjun Zhou, Chen Zhang, Muxuan Liang, 2017, Quantitative Biology.

Elastic regularization in restricted Boltzmann machines: Dealing with $p\gg N$ pdf

Sai Zhang, Sai Zhang, 2015, ArXiv.

TITER: predicting translation initiation sites by deep learning

Tao Jiang, Lei Zhang, Jianyang Zeng, 2017, bioRxiv.

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction

Tao Liu, Wei Zhou, Jin Li, 2020, Bioinform..

Meta-path Based MiRNA-Disease Association Prediction

Hao Lv, Kun Yue, Jin Li, 2019, DASFAA Workshops.

TIDE: predicting translation initiation sites by deep learning

Jianyang Zeng, Tao Jiang, Hailin Hu, 2017, bioRxiv.

ROSE: a deep learning based framework for predicting ribosome stalling

Jianyang Zeng, Tao Jiang, Sai Zhang, 2016, bioRxiv.

A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data

Yuexin Wu, Jianyang Zeng, Tao Jiang, 2016, bioRxiv.

DeepHINT: Understanding HIV-1 integration via deep learning with attention

Lei Zhang, Jianyang Zeng, Tao Jiang, 2018, bioRxiv.

Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data

Jianyang Zeng, Sai Zhang, Haipeng Gong, 2015, RECOMB.

Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity

Yanru Zhang, Yan Wang, Xin Yuan, 2020, SEMEVAL.

Analysis of Ribosome Stalling and Translation Elongation Dynamics by Deep Learning.

Jianyang Zeng, Sai Zhang, Jingtian Zhou, 2017, Cell systems.

Higher-Order Proximity-Based MiRNA-Disease Associations Prediction

Wei Zhou, Jin Li, Sai Zhang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.