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Leveraging genomic large language models to enhance causal genotype-brain-clinical pathways in Alzheimer's disease
Qiao Liu*, Wanwen Zeng*, Hongtu Zhu, Lexin Li, Wing Hung Wong. medRxiv, 2024.
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Leveraging genomic large language models to enhance causal genotype-brain-clinical pathways in Alzheimer's disease
An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies
Qiao Liu, Zhongren Chen, Wing Hung Wong. PNAS, 2024.
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An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies
EpiGePT: a Pretrained Transformer model for epigenomics
Zijing Gao*, Qiao Liu*,†, Wanwen Zeng, Rui Jiang†, Wing Hung Wong†. bioRxiv, 2024 (minor revision at Genome Biology).
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EpiGePT: a Pretrained Transformer model for epigenomics
HiChIPdb: a comprehensive database of HiChIP regulatory interactions
Wanwen Zeng*, Qiao Liu*, Qijin Yin*, Rui Jiang, Wing Hung Wong. Nucleic Acids Research, 2022.
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HiChIPdb: a comprehensive database of HiChIP regulatory interactions
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
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
hicGAN infers super resolution Hi-C data with generative adversarial networks
Qiao Liu, Hairong Lv, Rui Jiang. ISMB Proceedings/Bioinformatics, 2019
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hicGAN infers super resolution Hi-C data with generative adversarial networks