Nikolai Köhler

LipiDetective - a deep learning model for the identification of molecular lipid species in tandem mass spectra

LipiDetective is a transformer model that accurately identifies molecular lipid species in tandem mass spectra using learned fragmentation patterns, improving comparability across experiments.

Navigating the Lipid Universe with LipidLibrarian: A Cross-Linked Database for Lipidomics Data Integration

LipidLibrarian integrates lipidomics data from multiple databases to provide a unified search interface for lipid information.

Identification and Integration of Key-Metabolic Reactions from Untargeted Metabolomics

The paper introduces mantra, a method to estimate metabolic reaction activity changes from untargeted metabolomics data, demonstrating its utility in identifying biomarkers and enabling multi-omics integration.

Lipid network and moiety analysis for revealing enzymatic dysregulation and mechanistic alterations from lipidomics data

The paper introduces LINEX2, a lipid network analysis framework that identifies enzymatic dysregulation from lipidomics data by integrating metabolic networks and graph algorithms.

MoSBi: Automated signature mining for molecular stratification and subtyping

MoSBi automates biclustering analysis across multi-omics data to identify robust molecular signatures for stratification and subtyping.