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Saarland University
- Saarbrücken
Stars
Cell2Sentence: Teaching Large Language Models the Language of Biology
A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.
A compilation of the best multi-agent papers
State is a machine learning model that predicts cellular perturbation response across diverse contexts
Repository for storing prototype functionality implementations for the BKP
Comprehensive suite for evaluating perturbation prediction models
R package for visualising high-dimensional categorical data
scITDG is a tool for identifying time-dependent genes in single-cell sequencing data