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Posts by Collection
portfolio
Portfolio item number 2
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publications
Boost Neural Networks by Checkpoints
Published in , 1900
[Paper]
Incorporating Gene Expression in Genome-wide Prediction of Chromatin Accessibility via Deep Learning
Published in , 1900
Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
Published in , 1900
Chromatin Accessibility Prediction via a Hybrid Deep Convolutional Neural Network
Published in Bioinformatics, 2017
Recommended citation: Qiao Liu, Xia Fei, Qijin Yin and Rui Jiang. Bioinformatics, 2017.
Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer
Published in , 1900
[Paper]
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
Published in , 1900
Density estimation using deep generative neural networks
Published in , 1900
A Sequence-based Method to Predict the Impact of Regulatory Variants Using Random Forest
Published in BMC Systems Biology, 2017
Recommended citation: Qiao Liu, Mingxin Gan and Rui Jiang BMC Systems Biology, 2017.
hicGAN Infers Super Resolution Hi-C Data With Generative Adversarial Networks
Published in ISMB 2019/Bioinformatics, 2019
Recommended citation: Qiao Liu, Hairong Lv, and Rui Jiang. The 27th conference on Intelligent Systems for Molecular Biology. ISMB 2019.
Quantifying Functional Impact of Noncoding Variants with Multi-task Bayesian Neural Network
Published in Bioinformatics, 2019
Recommended citation: Chencheng Xu, Qiao Liu, Jianyu Zhou, Minzhu Xie, Jianxing Feng and Tao Jiang. Bioinformatics, 2019.
Simultaneous Deep Generative Modeling and Clustering of Single-cell Genomic Data
Published in , 1900
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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