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Qiao Liu
Qiao Liu
在 stanford.edu 的电子邮件经过验证 - 首页
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年份
DeepCDR: a hybrid graph convolutional network for predicting cancer drug response
Q Liu, Z Hu, R Jiang, M Zhou
Bioinformatics 36 (Supplement_2), i911-i918, 2020
1252020
Density estimation using deep generative neural networks
Q Liu, J Xu, R Jiang, WH Wong
Proceedings of the National Academy of Sciences 118 (15), e2101344118, 2021
872021
Simultaneous deep generative modelling and clustering of single-cell genomic data
Q Liu, S Chen, R Jiang, WH Wong
Nature machine intelligence 3 (6), 536-544, 2021
672021
hicGAN infers super resolution Hi-C data with generative adversarial networks
Q Liu, H Lv, R Jiang
Bioinformatics 35 (14), i99-i107, 2019
672019
DeepHistone: a deep learning approach to predicting histone modifications
Q Yin, M Wu, Q Liu, H Lv, R Jiang
BMC genomics 20, 11-23, 2019
652019
Chromatin accessibility prediction via a hybrid deep convolutional neural network
Q Liu, F Xia, Q Yin, R Jiang
Bioinformatics 34 (5), 732-738, 2018
652018
Multimodal single cell data integration challenge: results and lessons learned
C Lance, MD Luecken, DB Burkhardt, R Cannoodt, P Rautenstrauch, ...
BioRxiv, 2022.04. 11.487796, 2022
462022
Applications of transformer-based language models in bioinformatics: a survey
S Zhang, R Fan, Y Liu, S Chen, Q Liu, W Zeng
Bioinformatics Advances 3 (1), vbad001, 2023
362023
Protein folding optimization based on 3D off-lattice model via an improved artificial bee colony algorithm
B Li, M Lin, Q Liu, Y Li, C Zhou
Journal of molecular modeling 21, 1-15, 2015
342015
Feature-enhanced graph networks for genetic mutational prediction using histopathological images in colon cancer
K Ding, Q Liu, E Lee, M Zhou, A Lu, S Zhang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
262020
Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Z Duren, F Chang, F Naqing, J Xin, Q Liu, WH Wong
Genome biology 23 (1), 114, 2022
212022
Reinforced molecular optimization with neighborhood-controlled grammars
C Xu, Q Liu, M Huang, T Jiang
Advances in neural information processing systems 33, 8366-8377, 2020
212020
Graph convolutional networks for multi-modality medical imaging: Methods, architectures, and clinical applications
K Ding, M Zhou, Z Wang, Q Liu, CW Arnold, S Zhang, DN Metaxas
arXiv preprint arXiv:2202.08916, 2022
182022
OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions
S Chen, Q Liu, X Cui, Z Feng, C Li, X Wang, X Zhang, Y Wang, R Jiang
Nucleic Acids Research 49 (W1), W483-W490, 2021
152021
DualGCN: a dual graph convolutional network model to predict cancer drug response
T Ma, Q Liu, H Li, M Zhou, R Jiang, X Zhang
BMC bioinformatics 23 (Suppl 4), 129, 2022
142022
A sequence-based method to predict the impact of regulatory variants using random forest
Q Liu, M Gan, R Jiang
BMC Systems Biology 11, 1-9, 2017
142017
DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction
Q Yin, X Cao, R Fan, Q Liu, R Jiang, W Zeng
biorxiv, 2020.11. 09.375626, 2020
122020
Boost neural networks by checkpoints
F Wang, G Wei, Q Liu, J Ou, H Lv
Advances in Neural Information Processing Systems 34, 19719-19729, 2021
102021
Deep generative modeling and clustering of single cell Hi-C data
Q Liu, W Zeng, W Zhang, S Wang, H Chen, R Jiang, M Zhou, S Zhang
Briefings in Bioinformatics 24 (1), bbac494, 2023
92023
scGraph: a graph neural network-based approach to automatically identify cell types
Q Yin, Q Liu, Z Fu, W Zeng, B Zhang, X Zhang, R Jiang, H Lv
Bioinformatics 38 (11), 2996-3003, 2022
92022
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