Malika Saint

This study investigates how growth rate and nutrient-specific factors influence gene expression in fission yeast, revealing coordinated and condition-specific regulation of metabolic enzymes.

bayNorm provides a Bayesian method for normalizing, imputing, and recovering gene expression in scRNA-seq data, improving accuracy and reducing batch effects.

The paper uses scRNA-seq and imaging to study gene expression heterogeneity in fission yeast under different environmental conditions, revealing how gene expression varies during growth and stress responses.