The potential influence of underlying differences in relative leukocyte distributions in studies involving blood-based profiling of DNA methylation is well recognized and has prompted development of a set of statistical methods for inferring changes in the distribution of white blood cells using DNA methylation signatures. However, the extent to which...
BACKGROUND: The impact of cell-composition effects in analysis of DNA methylation data is now widely appreciated. With the availability of a reference data set consisting of DNA methylation measurements on isolated cell types, it is possible to impute cell proportions and adjust for them, but there is increasing interest in...
Background: There has been a long-standing need in biomedical research for a method that quantifies the normally mixed composition of leukocytes beyond what is possible by simple histological or flow cytometric assessments. The latter is restricted by the labile nature of protein epitopes, requirements for cell processing, and timely cell...
BACKGROUND: The impact of cell-composition effects in analysis of DNA methylation data is now widely appreciated.
With the availability of a reference data set consisting of DNA methylation measurements on isolated cell types, it is
possible to impute cell proportions and adjust for them, but there is increasing interest in...
BACKGROUND: The impact of cell-composition effects in analysis of DNA methylation data is now widely appreciated.
With the availability of a reference data set consisting of DNA methylation measurements on isolated cell types, it is
possible to impute cell proportions and adjust for them, but there is increasing interest in...
BACKGROUND: Cell lineage-specific DNA methylation patterns distinguish normal human leukocyte subsets and can
be used to detect and quantify these subsets in peripheral blood. We have developed an approach that uses DNA
methylation to simultaneously quantify multiple leukocyte subsets, enabling investigation of immune modulations
in virtually any blood sample including...
BACKGROUND: Cell lineage-specific DNA methylation patterns distinguish normal human leukocyte subsets and can
be used to detect and quantify these subsets in peripheral blood. We have developed an approach that uses DNA
methylation to simultaneously quantify multiple leukocyte subsets, enabling investigation of immune modulations
in virtually any blood sample including...
Background: Recent interest in reference-free deconvolution of DNA methylation data has led to several supervised methods, but these methods do not easily permit the interpretation of underlying cell types.
Results: We propose a simple method for reference-free deconvolution that provides both proportions of putative cell types defined by their underlying...
Background: Recent interest in reference-free deconvolution of DNA methylation data has led to several supervised methods, but these methods do not easily permit the interpretation of underlying cell types.
Results: We propose a simple method for reference-free deconvolution that provides both proportions of putative cell types defined by their underlying...
Background: Recent interest in reference-free deconvolution of DNA methylation data has led to several supervised methods, but these methods do not easily permit the interpretation of underlying cell types.
Results: We propose a simple method for reference-free deconvolution that provides both proportions of putative cell types defined by their underlying...