Markus Wolfien

In silico Investigation of Molecular Networks Linking Gastrointestinal Diseases, Malnutrition, and Sarcopenia

The paper constructs a knowledge base of molecular interactions linking gastrointestinal diseases, malnutrition, and sarcopenia and provides an interactive tool for in silico analysis.

Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling

The paper introduces a synthetic oversampling method to annotate rare cell types in single-cell RNA-sequencing data, demonstrating high accuracy and low false positives in two use cases.

AMES: Automated evaluation of sarcomere structures in cardiomyocytes

AMES uses deep learning to evaluate sarcomere structures in cardiomyocytes, achieving high accuracy in predicting sarcomerisation and cell source.

Community-driven data analysis training for biology

The paper presents a community-driven framework for interactive data analytics training in life sciences, enabling researchers to learn through web-based computation without software installation.