Xiangtao Li - Dissemin

All papers authored by Xiangtao Li

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2024 Yanchi Su, Zhuohan Yu, Yuning Yang, Ka‐Chun Wong, Xiangtao Li

Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation

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Zijun Zhou

, Fan Tang

, Yuxin Zhang

, Oliver Deussen

, Juan Cao

, Weiming Dong

, Xiangtao Li

, Tong-Yee Lee

A Comprehensive Evaluation of Arbitrary Image Style Transfer Methods

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2023 Pingping Sun, Shijie Fan, Shaochuan Li, Yingwei Zhao, Chang Lu, Ka-Chun Wong

, Xiangtao Li

Automated exploitation of deep learning for cancer patient stratification across multiple types

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Haoran Zhu, Yuning Yang, Yunhe Wang, Fuzhou Wang, Yujian Huang, Yi Chang, Ka-Chun Wong

, Xiangtao Li

Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet

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Yuning Yang, Gen Li, Kuan Pang, Wuxinhao Cao, Xiangtao Li

, Zhaolei Zhang

Deciphering 3’ UTR mediated gene regulation using interpretable deep representation learning

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Yi Fan, Yunhe Wang, Fuzhou Wang, Lei Huang, Yuning Yang, Ka‐Chun Wong, Xiangtao Li

Reliable Identification and Interpretation of Single‐Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning

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2022 Yanchi Su

, Haoran Zhu

, Ka-Chun Wong

, Yi Chang

, Xiangtao Li

Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery

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2023 Yunhe Wang, Zhuohan Yu, Shaochuan Li, Chuang Bian, Yanchun Liang, Ka-Chun Wong

, Xiangtao Li

scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering

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Zhuohan Yu, Yanchi Su, Yifu Lu, Yuning Yang, Fuzhou Wang

, Shixiong Zhang, Yi Chang, Ka-Chun Wong

, Xiangtao Li

Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA

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Zilong Hou, Yuning Yang, Zhiqiang Ma, Ka-Chun Wong

, Xiangtao Li

Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning

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2022 Yansong Wang, Zilong Hou, Yuning Yang

, Ka-Chun Wong, Xiangtao Li

Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework

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Yunhe Wang

, Xiangtao Li

, Ka-Chun Wong

, Yi Chang

, Shengxiang Yang

Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification

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Yanchi Su, Fuzhou Wang

, Shixiong Zhang, Yanchun Liang, Ka-Chun Wong

, Xiangtao Li

scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information

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Zetian Zheng

, Weidun Xie

, Xingjian Chen

, Fuzhou Wang

, Lei Huang, Xiangtao Li

, Qiuzhen Lin

, Ka-Chun Wong

Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma

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Yunhe Wang

, Chuang Bian, Ka-Chun Wong

, Xiangtao Li

, Shengxiang Yang

Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data

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Yifu Lu, Zhuohan Yu, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong

, Xiangtao Li

GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering

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Olutomilayo Olayemi Petinrin

, Xiangtao Li

, Ka-Chun Wong

Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients

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2021 Yawei Wang, Yuning Yang

, Zhiqiang Ma, Ka-Chun Wong

, Xiangtao Li

EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network

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All papers authored by Xiangtao Li