Jianping Wang

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.