The art and science of bioinformatics: Kun Huang, PhD
In June 2021, Kun Huang, PhD, and colleagues were published in Nature Communications detailing their new computer program called Multi-Omics Graph cOnvolutional NETworks (MOGONET). The application integrates omics data—such as DNA, RNA and proteins—to help researchers identify potential biomarkers for cancers and Alzheimer’s disease.
While his team was polishing up that paper, Dr. Huang partnered with fellow EDT member Jie Zhang, PhD, and IU data scientist Travis Johnson, PhD, to discover an innovative approach to identifying how likely someone is to develop certain diseases.
The trio added deep learning to the RNA sequencing tool known as Seurat. They named their new system DEGAS—Diagnostic Evidence GAuge of Single Cells—and published their findings in the February 2022 issue of Genome Medicine.