Tag: deconvolution

A new method called BLEND-M improves DNA methylation deconvolution by using personalized reference profiles to account for individual variability.

Researchers introduced SWIMR, a statistical framework that integrates multiple single-cell RNA sequencing references to improve cell-type deconvolution accuracy in spatial ...

A new study reports that quantifying immune cells from DNA methylation patterns matches clinical flow cytometry and CBC results within ...

A new open-source R package called BLASE maps bulk RNA-seq samples onto single-cell pseudotime trajectories, outperforming existing deconvolution tools in ...

A benchmarked computational framework called BayesPrism-DWLS infers cell-type proportions and cell-type-specific gene expression from bulk RNA-seq and spatial transcriptomics data ...

A new method called ReadsRatio estimates tissue contributions to circulating cell-free DNA from unmethylated read ratios in cell type-specific marker ...

A new two-step machine-learning framework called CLIMB and CLIFF computationally deconvolves bulk RNA-seq and drug sensitivity data into cell-type and ...

A Weizmann Institute study of over 300 million lab tests shows that menopause marks a sharp, body-wide physiological turning point ...

A new deconvolution method extracts multiple discrete ages from a single apatite fission-track length histogram, sharpening the reconstruction of burial, ...

A $1.96 million National Eye Institute grant will fund UT Arlington researchers developing AI and Bayesian statistical tools to identify ...