Manik Garg

The paper identifies plasma proteomic markers linked to polygenic risk of type 2 diabetes and related comorbidities using proteogenomic data from biobanks and clinical trials.

The paper uses machine learning to identify undiagnosed cases in UK Biobank data, improving gene-disease associations and discovering novel relationships.

The paper performs a meta-analysis of single-cell RNA data from 9 studies to identify consistent immune response patterns in COVID-19 patients, finding consistent upregulation of type I interferon and downregulation of mitochondrial genes.

This paper develops a gene expression signature, Cam_121, to predict long-term outcomes in primary melanoma patients, showing improved accuracy compared to clinical and existing prognostic models.