Zhongxiao Li

发表

Computer-aided drug repurposing for cancer therapy: approaches and opportunities to challenge anticancer targets.

Xin Gao, Zhongxiao Li, Luca Cardone, 2019, Seminars in cancer biology.

Deep learning in bioinformatics: Introduction, application, and perspective in the big data era.

Yu Li, Xin Gao, Zhongxiao Li, 2019, Methods.

Applications of deep learning in understanding gene regulation

Zhongxiao Li, Juexiao Zhou, Xiaopeng Xu, 2023, Cell reports methods.

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

Lihua Li, Xin Gao, Ming Fan, 2020, IEEE Transactions on Medical Imaging.

PPML-Omics: a Privacy-Preserving federated Machine Learning system protects patients’ privacy from omic data

Zhongxiao Li, Haoyang Li, Juexiao Zhou, 2022 .

DeeReCT-PolyA: a robust and generic deep learning method for PAS identification

Yu Li, Xin Gao, Wei Chen, 2018, Bioinform..

OP-CBIO181026 2371..2379

Yu Li, Zhongxiao Li, Yuhui Hu, 2019 .

Predicting the antigenic evolution of SARS-COV-2 with deep learning

Shiwei Sun, Ruochi Zhang, Zhongxiao Li, 2023, bioRxiv.

A unified method to revoke the private data of patients in intelligent healthcare with audit to forget

Zhongxiao Li, Juexiao Zhou, Haoyang Li, 2023, bioRxiv.

PPML-Omics: A privacy-preserving federated machine learning method protects patients’ privacy in omic data

Zhongxiao Li, Juexiao Zhou, Bin Zhang, 2023, bioRxiv.

DeeReCT-TSS: A novel meta-learning-based method annotates TSS in multiple cell types based on DNA sequences and RNA-seq data

Xin Gao, Zhongxiao Li, Haoyang Li, 2021, bioRxiv.

Deep learning in bioinformatics: introduction, application, and perspective in big data era

Yu Li, Chao Huang, Xin Gao, 2019, bioRxiv.

DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning

Xin Gao, Yu Li, Xudong Zou, 2020, bioRxiv.

A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics

Shiwei Sun, Ruochi Zhang, Zhongxiao Li, 2023, Nature Communications.

An isoform-resolution transcriptomic atlas of colorectal cancer from long-read single-cell sequencing

Yvonne Tay, Zhongxiao Li, B. Lieske, 2023, bioRxiv.

Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors

L. Carin, Zhongxiao Li, Yupeng Chen, 2022, iScience.

SupportNet: solving catastrophic forgetting in class incremental learning with support data pdf

Wei Chen, Yu Li, Peng Yang, 2018, ArXiv.

SupportNet: a novel incremental learning framework through deep learning and support data

Yu Li, Wei Chen, Lizhong Ding, 2018, bioRxiv.

An isoform-resolution transcriptomic atlas of colorectal cancer from long-read single-cell sequencing

Yvonne Tay, Zhongxiao Li, B. Lieske, 2023, bioRxiv.

AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data

Zhongxiao Li, M. Fedele, Xin Gao, 2023, bioRxiv.

Accurate transcriptome-wide identification and quantification of alternative polyadenylation from RNA-seq data with APAIQ

Shuye Tian, Yvonne Tay, Shiwei Sun, 2023, Genome Research.

Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-seq Data via DeeReCT-TSS

W. Chen, Zhongxiao Li, Juexiao Zhou, 2022, Genom. Proteom. Bioinform..

Optimization of binding affinities in chemical space with generative pre-trained transformer and deep reinforcement learning

Ruochi Zhang, Zhongxiao Li, Juexiao Zhou, 2023, F1000Research.

An isoform-resolution transcriptomic atlas of colorectal cancer from long-read single-cell sequencing

Yvonne Tay, Zhongxiao Li, B. Lieske, 2023, bioRxiv.