Yang Liu

NANOME improves DNA methylation detection using nanopore long-read sequencing by integrating multiple tools and enhancing precision and accuracy in human cell lines.

The paper introduces TAVAC, a metric to quantify overfitting and interpretation reproducibility in Vision Transformer models using attention consistency across training and validation data.

SPiRiT uses explainable deep learning to predict spatial single-cell gene expression from histological images, improving accuracy over existing methods.

The paper evaluates DNA methylation calling tools for Oxford Nanopore sequencing using human data and provides an online database for comparing tool performance.