Lei Liu

This paper reports the preclinical development of Enterobacter ludwigii LS57 as a safe, effective, and scalable live biotherapeutic product for inflammatory bowel disease.

AttentioFuse is an interpretable deep learning framework for multi-omics integration in lung cancer that matches state-of-the-art performance and uncovers biological insights.

This study uses gene set embeddings to uncover biological function associations across species by integrating node2vec with MSigDB data.

The paper improves scRNA-seq analysis by using deep generative models to identify and remove noise cells, enhancing clustering and gene analysis consistency.

The paper introduces an attention-based deep multiple instance learning model for circRNA identification from lncRNA, showing improved performance and identifying key sequence motifs.

This study simulates scRNA-seq data to evaluate how sequencing parameters and clustering algorithms affect cell clustering accuracy.