Tenglong Li

The paper introduces BatchQC, an R package for assessing and correcting batch effects in high-throughput data with reproducible tools and workflows.

m6AConquer provides a unified framework for quantifying and integrating m6A detection techniques, improving data consistency and biological relevance across methods.

The paper evaluates the impact of two-step batch correction on gene expression analysis and proposes strategies to mitigate its effects on statistical inference.