Wenyan Zhong

The paper identifies bimodal protein expression patterns in cancer proteomics, revealing 2401 tumor-associated bimodal proteins and their associations with key cancer pathways, with implications for biomarker discovery and precision oncology.

The paper evaluates normalization strategies for creating a pan-cancer protein expression dataset from CPTAC, finding global quantile normalization most effective for cross-cohort comparisons.

The paper evaluates the feasibility of using TMT-iBAQ to identify tumor-enriched and highly expressed cell surface antigens for cancer therapeutics.

GeneTEFlow provides a Nextflow-based pipeline for analyzing gene and transposable element expression from RNA-Seq data, improving ease of use and integration.