Daniel Sumner Magruder

Scaden is a deep learning model for cell deconvolution that outperforms existing methods and works across bulk RNA-seq, microarray, and human/mouse tissue data.

This paper introduces cscGANs for generating realistic single cell RNA-seq data to augment sparse datasets, improving analysis outcomes and reducing experimental costs.

SEA provides a web tool for querying and analyzing small RNA expression across ten organisms, including differential expression and classification comparisons.

Oasis2.0 improves small RNA-seq analysis by enhancing detection, classification, and visualization of small RNAs across organisms and identifying cross-species miRNAs and viral/bacterial sRNAs.