AI

scGraph: a graph neural network-based approach to automatically identify cell types
Qijin Yin, Qiao Liu, Zhuoran Fu, Rui Jiang. Bioinformatics, 2022.
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DeepCAGE: Incorporating Transcription Factors in Genome-Wide Prediction of Chromatin Accessibility
Qiao Liu, Kui Hua, Xuegong Zhang, Wing Hung Wong, Rui Jiang. Genomics, Proteomics & Bioinformatics, 2022.
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DeepCAGE: Incorporating Transcription Factors in Genome-Wide Prediction of Chromatin Accessibility
Multimodal single cell data integration challenge: Results and lessons learned
Christopher Lance, Malte D Luecken, Daniel B Burkhardt,…,Qiao Liu,…,Fabian J Theis. Proceedings of Machine Learning Research(PMLR), 2022.
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Simultaneous deep generative modelling and clustering of single-cell genomic data
Qiao Liu, Shengquan Chen, Rui Jiang, Wing Hung Wong. Nature Machine Intelligence, 2021.
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Simultaneous deep generative modelling and clustering of single-cell genomic data
Density estimation using deep generative neural networks
Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong. PNAS, 2021.
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Density estimation using deep generative neural networks
Boost Neural Networks by Checkpoints
Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv. NeurIPS, 2021.
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DeepCDR: a hybrid graph convolutional network for predicting cancer drug response
Qiao Liu, Zhiqiang Hu, Rui Jiang, Mu Zhou. ECCB Proceedings/Bioinformatics, 2020
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DeepCDR: a hybrid graph convolutional network for predicting cancer drug response
Feature-enhanced graph networks for genetic mutational prediction using histopathological images in colon cancer
Kexin Ding, Qiao Liu, Edward Lee, Mu Zhou, Aidong Lu & Shaoting Zhang. MICCAI, 2020.
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Reinforced molecular optimization with neighborhood-controlled grammars
Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang. NeurIPS, 2020.
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Quantifying functional impact of non-coding variants with multi-task Bayesian neural network
Chencheng Xu, Qiao Liu, Jianyu Zhou, Minzhu Xie, Jianxing Feng, Tao Jiang. Bioinformatics, 2020.
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