Xiang Zhou

发表

scAdapt: Virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species

Yuedong Yang, Huiying Zhao, Xiang Zhou, 2021, bioRxiv.

Demystifying “drop-outs” in single-cell UMI data

Mengjie Chen, Xiang Zhou, Tae Hyun Kim, 2020, Genome Biology.

Imputing DNA Methylation by Transferred Learning Based Neural Network

Xiang Zhou, Jiahua Rao, Xin-Feng Wang, 2022, Journal of Computer Science and Technology.

Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks

Xiang Zhou, Yutong Lu, Jiahua Rao, 2020, bioRxiv.

Integrating multi-omics data through deep learning for accurate cancer prognosis prediction

Xiang Zhou, Jiahua Rao, Zhongyue Zhang, 2021, Comput. Biol. Medicine.

Joint dimension reduction and clustering analysis of single-cell RNA-seq and spatial transcriptomics data

Yezhou Yang, Xingjie Shi, Huazhen Lin, 2021, bioRxiv.

Controlling for Confounding Effects in Single Cell RNA Sequencing Studies Using both Control and Target Genes

Xiang Zhou, Mengjie Chen, Xiaoping Zhou, 2016, Scientific Reports.

Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Judy H. Cho, Lifelines, Christopher R. Gignoux, 2022, medRxiv.

Graph Convolutional Network-based Method for Clustering Single-cell RNA-seq Data

Yuedong Yang, Yutong Lu, Jinxing Lin, 2021 .

Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network

Yuedong Yang, Xiang Zhou, Yutong Lu, 2020, bioRxiv.

Demystifying “drop-outs” in single-cell UMI data

Mengjie Chen, Xiang Zhou, Tae Hyun Kim, 2020, Genome Biology.

A Robust and Scalable Graph Neural Network for Accurate Single Cell Classification

Yuedong Yang, Yutong Lu, Xiang Zhou, 2021, bioRxiv.

Demystifying “drop-outs” in single-cell UMI data

Xiang Zhou, Mengjie Chen, Tae Kim, 2020, Genome Biology.

Effective and scalable single-cell data alignment with non-linear canonical correlation analysis

Mengjie Chen, Jialu Hu, Xiang Zhou, 2021, Nucleic acids research.

Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning–based neural network

Yuedong Yang, Xiang Zhou, Ching-Hsing Luo, 2019, bioRxiv.

Imputing missing RNA-seq data from DNA methylation by using transfer learning based neural network

Xiang Zhou, Ching-Hsing Luo, Huiying Zhao, 2019 .

Integrating multi-omics data with deep learning for predicting cancer prognosis

Xiang Zhou, Yutong Lu, Huiying Zhao, 2019, bioRxiv.

scAdapt: virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species.

Yuedong Yang, Huiying Zhao, Xiang Zhou, 2021, Briefings in Bioinformatics.

Integrating multi-omics data through deep learning for accurate cancer prognosis prediction

Yuedong Yang, Huiying Zhao, Zhongyue Zhang, 2021, Comput. Biol. Medicine.