Ruth Kristianingsih

This paper introduces a Bayesian method to align transcript dynamics across different time scales and species, enabling comparative analysis of gene expression patterns.

This study identifies genetic loci that desynchronize bract and flower development in Arabidopsis, revealing complex transcriptomic changes during the floral transition.

The paper develops deepredeff, a deep learning model ensemble for classifying plant pathogen effector proteins from sequence data, achieving higher accuracy and lower false positives than existing tools.