Background Cellular compositions of solid tumor microenvironments are heterogeneous,
varying across patients and tumor types. High-resolution profiling of the tumor …

Background Cell-type heterogeneity of tumors is a key factor in tumor progression and
response to chemotherapy. Tumor cell-type heterogeneity, defined as the proportion of the …

Bulk tissue DNA methylation profiling has been used to examine epigenetic mechanisms
and biomarkers of complex diseases such as cancer. However, heterogeneity of cellular …

The interaction of CNS tumors with infiltrating lymphocytes plays an important role in their
initiation and progression and might be related to therapeutic responses. Gene expression …

DNA methylation profiling offers unique insights into human development and diseases.
Often the analysis of complex tissues and cell mixtures is the only feasible option to study …

We introduce a new computational method named EMeth to estimate cell type proportions
using DNA methylation data. EMeth is a reference-based method that requires cell type …

Background Confounding due to cellular heterogeneity represents one of the foremost
challenges currently facing Epigenome-Wide Association Studies (EWAS). Statistical …

DNA methylation microarrays can be employed to interrogate cell-type composition in
complex tissues. Here, we expand reference-based deconvolution of blood DNA …

Recent advances in cell-type deconvolution approaches are adding to our understanding of
the biology underlying disease development and progression. DNA methylation (DNAm) …

The nature and extent of immune cell infiltration into solid tumours are key determinants of
therapeutic response. Here, using a DNA methylation-based approach to tumour cell …