Karin Kloiber

This paper introduces a deep-learning based domain adaptation algorithm for RNA-seq metadata annotation, achieving higher accuracy than existing methods for tissue, sample source, and patient sex prediction.

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.