Masahiro Sugimoto

This study shows D-serine competes with mitochondrial L-serine transport, suppressing one-carbon metabolism and affecting neural cell proliferation.

The paper compares classification accuracy and feature selection between sparse and non-sparse modeling of metabolomics data using serum lipidomic data from breast cancer patients.

This study evaluates sparse k-means for metabolomics data, showing it improves clustering accuracy with fewer metabolites in breast cancer subtypes.