Jiuming Wang

AcrNET predicts anti-CRISPR proteins using a deep learning model, achieving significant performance improvements and class-level predictions.

TAPE deconvolves bulk RNA-seq data into cell-type fractions and gene expression using a deep autoencoder, showing better performance and robustness compared to existing methods.

HiC-LDNet is a deep learning framework for chromatin loop detection in Hi-C data, achieving high accuracy in both bulk and sparse single-cell Hi-C maps.