Zhongxiao Li

This study uses AI to identify small molecules that induce breast cancer stem cell differentiation by training a deep neural network on gene expression data and validating results experimentally.

PPML-Omics is a privacy-preserving federated learning method that balances privacy protection and model utility across three omic data tasks.

The paper introduces AFS, a tool to revoke patients' private data from pre-trained models by auditing usage and purifying knowledge, tested across multiple tasks and datasets.

DeeReCT-TSS improves TSS annotation across cell types using DNA sequences and RNA-seq data, outperforming sequence-only methods and enabling cell-type-specific TSS identification.

DeeReCT-APA quantitatively predicts alternative polyadenylation site usage across genes using a deep learning model, outperforming existing methods in multiple tasks.

This paper reviews deep learning applications in bioinformatics, covering methods, examples, and challenges in the big data era.

SupportNet addresses catastrophic forgetting in incremental learning by combining deep learning with SVM to retain old knowledge while learning new data, outperforming existing methods in multiple tasks.