Robert Hu

The paper introduces CellAligner, a framework to robustly compare subcellular protein organization across morphologically distinct cells, improving classification accuracy in neuronal imaging.

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

The paper introduces ConDecon, a clustering-independent method to estimate cell abundances in bulk tissues using single-cell RNA-seq data, and applies it to study neurodegenerative microglia pathways in pediatric ependymoma.

Cell Layers provides an interactive tool to explore single-cell clustering across resolutions, linking molecular data with cluster evaluation metrics.