Yang Chen

This study shows warming advances growth timing but not necessarily total growth in boreal species, with contrasting responses between evergreen gymnosperms and deciduous angiosperms.

This paper uses Bayesian model selection to show zero inflation in scRNA-Seq data is biological, not technical, and recommends a negative binomial GLM as a reference model.

The paper evaluates seven circadian rhythm detection algorithms using empirical datasets and simulations, providing guidelines for selecting methods based on data characteristics.

BARTweb identifies transcription factors associated with genomic features using public ChIP-seq data, outperforming existing tools and reducing computation time.

The paper combines KFC2a features with Rosetta scoring terms to improve prediction of protein interface hotspots using machine learning.