Benoît Liquet

Using a supervised principal components analysis for variable selection in high-dimensional datasets reduces false discovery rates

This paper introduces a supervised principal components analysis method for variable selection in high-dimensional datasets, showing it reduces false discovery rates and improves statistical inference.

Tumor- and immune-derived N-acetyl-β-D-hexosaminidase drive colorectal cancer and stratify patient risk

This study identifies N-acetyl-β-D-hexosaminidase as a driver of colorectal cancer progression and a prognostic marker in patient plasma.