Wei-Hao Lee

MONTE provides a unified framework for tumor purity estimation and methylation correction from bulk DNA methylation data, improving accuracy and generalizability across cancer types.

Aruna upscales sparse DNA methylation data from RRBS to whole-genome resolution using a self-supervised denoising autoencoder, outperforming existing methods in simulations and real data.

ALPINE is a supervised NMF framework that disentangles technical and phenotypic factors in multi-condition sequencing data, improving condition-specific signal isolation and interpretability.

The paper uses small RNA sequencing data from The Cancer Genome Atlas to analyze the cancer-associated microbiome in colorectal samples, identifying microbial genera linked to cancer stages.