Mikael Benson

scDrugPrio uses single-cell RNA sequencing to prioritize drugs for immune-mediated inflammatory diseases, showing personalized drug response variations across patients.

The paper develops a mathematical model combining mRNA splice variants and time-delay to predict protein abundance from RNA-Seq, improving biomarker discovery in immune diseases.

This study identifies and corrects a major source of error in DIP-seq data, revealing new biological insights and proposing methodological improvements.

LASSIM infers genome-wide gene regulatory networks using mechanistic ODE models, demonstrating its effectiveness in modeling Th2 differentiation with integrated data and siRNA experiments.