Sean McCabe

This study uses deep transfer learning to identify diabetes- and obesity-associated β-cell subpopulations in single-cell RNA-seq data and validates key genes through immunostaining.

ACTOR compares expressed isoform proportions in RNA-seq data to a reference panel using a latent Dirichlet model to classify tissue types.

MOVIE evaluates overfitting and stability of unsupervised multi-omics methods using contribution plots from real and permuted null datasets.