Alzheimer's disease (AD) is the most common form of dementia, characterized by
progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic …

The human body is constantly exposed to microorganisms, which entails manifold
interactions between human cells and diverse commensal or pathogenic bacteria. The …

Many spatially resolved transcriptomic technologies do not have single-cell resolution but
measure the average gene expression for each spot from a mixture of cells of potentially …

Inferring single-cell compositions and their contributions to global gene expression changes
from bulk RNA sequencing (RNA-seq) datasets is a major challenge in oncology. Here we …

To date, single-cell studies of human white adipose tissue (WAT) have been based on small
cohort sizes and no cellular consensus nomenclature exists. Herein, we performed a …

Diabetic kidney disease (DKD) occurs in∼ 40% of patients with diabetes and causes kidney
failure, cardiovascular disease, and premature death. We analyzed the response of a …

Many computational methods have been developed to infer cell type proportions from bulk
transcriptomics data. However, an evaluation of the impact of data transformation, pre …

The kidney has tremendous capacity to repair after acute injury, however, pathways guiding
adaptive and fibrotic repair are poorly understood. We developed a model of adaptive and …

The integration of single cell transcriptome and chromatin accessibility datasets enables a
deeper understanding of cell heterogeneity. We performed single nucleus ATAC (snATAC …

Cellular deconvolution algorithms virtually reconstruct tissue composition by analyzing the
gene expression of complex tissues. We present the decision tree machine learning …