Jue Fan

CellFM is a large-scale foundation model pre-trained on 100 million human cells, outperforming existing models in cell annotation, perturbation prediction, and gene function prediction.

CellClear improves single-cell RNA data quality by correcting ambient RNA, enhancing cell type classification accuracy without altering native cell information.

SynEcoSys provides a unified platform for analyzing and exploring single-cell transcriptomic data from multiple sources, enhancing data comparability through standardized pipelines and manual annotations.

The paper analyzes ACE2 expression in human kidney and bladder cells to assess the potential for 2019-nCoV infection through the urinary system.

In healthy human liver scRNA-seq, ACE2 is detected in 59.7% of cholangiocytes but 2.6% of hepatocytes, so 2019-nCoV may target bile duct cells rather than hepatocytes.

QTG-Finder uses machine learning to prioritize causal genes within QTLs in Arabidopsis and rice by analyzing genomic and functional data.

DendroSplit provides an interpretable clustering framework for single-cell RNA-Seq datasets, improving clarity and reducing subjectivity in clustering results.