Gurpinder Singh Sidhu

Network analysis of flowering time genes suggests regulatory changes among SOC1 orthologues in response to cold in Brassica napus

The paper analyzes the gene regulatory network of flowering time in Brassica napus, finding similar network topology to Arabidopsis but with regulatory changes in SOC1 orthologues under cold conditions.

A Bayesian approach for identifying similar transcript dynamics using curve registration

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

What is a differentially expressed gene?

The paper compares binary and rank-based methods for identifying differentially expressed genes using Bayesian statistics on a yeast dataset, highlighting issues with traditional thresholds and advocating for rank-based approaches.

A Bayesian framework for ranking genes based on their statistical evidence for differential expression

This paper introduces a Bayesian framework for differential gene expression analysis that ranks genes based on statistical evidence rather than binary classification, improving transparency and computational efficiency.