Michael Habeck

This paper introduces a computational method to analyze sarcomere properties in human cardiomyocytes using radial frequency spectra, showing its effectiveness in detecting molecular differences in cardiac diseases.

The paper uses Bayesian priors to address non-identifiability in HMMs applied to patch clamp data, improving inference accuracy with minimal prior assumptions.

This paper introduces a Bayesian method to refine molecular dynamics simulations using nuclear Overhauser effect measurements by estimating maximum entropy parameters through adaptive Markov Chain Monte Carlo methods.

The paper introduces a Bayesian method to infer chromatin structure ensembles from population Hi-C data, accounting for cell-to-cell variability.

This study reevaluates the autoinhibition mechanism of Rabex5 by analyzing structural changes and nucleotide exchange activity, revealing new regulatory roles for Ubiquitin binding domains.