Jan Großbach

The paper identifies a basal-like subtype in esophageal adenocarcinoma associated with relapse after chemoradiation and poor survival.

The paper introduces a framework to deconvolve LiP-MS signals and infer protein structural changes using data from three species.

The paper reanalyzes data from Shen et al. to argue that most synonymous mutations in yeast genes are not deleterious, challenging their original conclusions about fitness effects.

The paper identifies a central state transition in yeast molecular networks linked to PKA and TOR signaling, showing how genetic variants can cause global or local molecular changes affecting multiple cellular traits.

The paper identifies a natural variant in fission yeast Pyk1 that reduces glycolytic flux, increases respiration, and enhances oxidative-stress resistance but decreases growth.

This study integrates transcriptome, proteome, and phosphoproteome data from yeast to show how genetic variation affects molecular networks and cellular growth traits, with phosphorylation playing a key role.

This paper develops three methods to detect epistasis using Random Forest, outperforming existing approaches in simulated and real yeast datasets.