Chris G. McKennan

This study shows that single-spun plasma is sufficient for accurate cfDNA analysis, challenging the need for double centrifugation in liquid biopsy workflows.

This study identifies cell type-specific DNA methylation changes in airway epithelial cells linked to early-life RSV infection and their association with subsequent wheezing.

BLEND improves cellular deconvolution by selecting optimal references and avoiding data preprocessing, showing better performance on real and simulated data.

The paper uses single-cell RNA sequencing to study how wheeze and early-life RSV infection affect airway epithelial development in children.

HiDecon estimates rare cell type fractions in bulk transcriptomics data using hierarchical deconvolution with single-cell references and cell type trees.

scMD estimates cell type fractions from bulk DNAm data using single-cell DNA methylation references, showing improved performance in identifying Alzheimer's disease-related methylation patterns.

The paper identifies high-value CpGs in the human methylome associated with allergic sensitization using a custom array and WGBS data from airway epithelial cells.

The paper analyzes longitudinal DNA methylation data to show that race-associated patterns are present at birth and primarily genetic, with strong genetic and weak non-genetic contributions.