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Current Medicinal Chemistry|September 28, 2019
Progress in Research on Tumor Metastasis InhibitorsWeiqi Xia, Chunqi HuPlos One|May 16, 2025
Machine learning for early prediction of the infection in patients with urinary stone after treatment of holmium laser lithotripsyWeiqi Xia, Miaomiao Zhang, Xiaowei Zheng, et al.Nucleic Acids Research|April 24, 2020
NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic dataQingxia Yang, Yunxia Wang, Ying Zhang, et al.Computers in Biology and Medicine|April 2, 2022
PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methodsWeiqi Xia, Lingyan Zheng, Jiebin Fang, et al.BMC Medical Informatics and Decision Making|August 9, 2025
Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective studyWentong Liu, Kaiyue Ji, Qianwen Tang, et al.Nucleic Acids Research|May 11, 2023
RNAincoder: a deep learning-based encoder for RNA and RNA-associated interactionYunxia Wang, Zhen Chen, Ziqi Pan, et al.Genome Biology|February 2, 2024
AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encodingLingyan Zheng, Shuiyang Shi, Mingkun Lu, et al.Nucleic Acids Research|October 27, 2023
A task-specific encoding algorithm for RNAs and RNA-associated interactions based on convolutional autoencoderYunxia Wang, Ziqi Pan, Minjie Mou, et al.Pageof 1