Fangyuan Shi

rcCAE uses a convolutional autoencoder to detect intra-tumor heterogeneity and single-cell copy number alterations from scDNA-seq data, outperforming existing methods in simulated and real datasets.

REVA is a curated database of over 11.8 million noncoding variants with expression-modulating potential, providing functional annotations and benchmarking computational tools for variant analysis.

This study introduces CARMEN, an algorithm that identifies functional noncoding variants affecting gene expression, showing improved sensitivity and lower false discovery rates compared to existing tools.

AnnoLnc provides a web server for systematically annotating novel human lncRNAs with comprehensive features and tools for biological analysis.