Single-cell RNA sequencing (scRNA-seq) provides unique insights into the pathology and
cellular origin of disease. We introduce single-cell disease relevance score (scDRS), an …

An underlying question for virtually all single-cell RNA sequencing experiments is how to
allocate the limited sequencing budget: deep sequencing of a few cells or shallow sequencing …

Aging is associated with complex molecular and cellular processes that are poorly understood.
Here we leveraged the Tabula Muris Senis single-cell RNA-seq data set to systematically …

In autoimmune diseases such as rheumatoid arthritis, the immune system attacks the body’s
own cells. Developing a precise understanding of the cell states where noncoding …

Periodontal disease is a microbially-mediated inflammatory disease of tooth-supporting
tissues that leads to bone and tissue loss around teeth. Although bacterially-mediated …

Dysbiosis of the oral microbiome mediates chronic periodontal disease. Realignment of
microbial dysbiosis towards health may prevent disease. Treatment with antibiotics and …

The influence of seasons on biological processes is poorly understood. In order to identify
biological seasonal patterns based on diverse molecular data, rather than calendar dates, we …

The analysis of longitudinal data from electronic health records (EHRs) has the potential to
improve clinical diagnoses and enable personalized medicine, motivating efforts to identify …

Post-deployment monitoring of ML systems is critical for ensuring reliability, especially as
new user inputs can differ from the training distribution. Here we propose a novel approach, …

Attempts to identify and prioritize functional DNA elements in coding and non-coding regions,
particularly through use of in silico functional annotation data, continue to increase in …