Christoph Ogris

This paper integrates missing data handling into KiMONo for multi-omics regulatory network inference and benchmarks its performance on different missing data scenarios.

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.

KiMONo integrates multi-omics data to infer networks of molecular associations, demonstrating robustness to noise and identifying disease-specific features in cancer and depression datasets.