Ruo Han Wang

EcoNet improves immunotherapy response prediction by modeling tumor microenvironment signaling networks, outperforming existing methods in AUC and stratifying ccRCC patients by clinical outcome.

DeSpotX improves spatial transcriptomics by decontaminating transcript data using a deep generative model that identifies contamination and enhances biological coherence.

The paper updates the PRECOG resource by adding pediatric and immunotherapy datasets, enabling analysis of gene expression associations with clinical outcomes using statistical models and deconvolution.

SCOIT, a probabilistic tensor decomposition framework, improves latent embeddings from single-cell multiomic data, enhancing clustering and cross-omics analysis.

This paper introduces a graph convolutional network for analyzing nucleic acid sequences, outperforming existing methods in phage-related tasks.

This study expands the number of complete temperate phage genomes by over 100-fold using a novel computational method applied to bacterial NGS data.

SeCNV improves copy number profiling in single-cell DNA sequencing by using structural entropy, achieving high accuracy and efficiency on large datasets.