Barbara Helm

msBayesImpute improves missing value handling in proteomics data by integrating Bayesian factorization and probabilistic dropout models, outperforming existing methods in imputation and normalization.

This study compares four lysis buffers for proteomics, finding SDS most reliable and advocating a dual-sample approach to maximize proteome coverage.

The paper identifies elevated basal MET phosphorylation as a marker of hepatocyte dysregulation in liver disease, correlating with patient outcomes after surgery.

This study identifies microsteatosis and mild inflammation as key features of liver tolerance to repeated toxic injuries, using a mouse model and multi-omics analysis.