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...
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E. Andres Houseman1, Molly Kile1, David C. Christiani2, Tan A. Ince3, Karl T. Kelsey4, Carmen
J
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...
Full Text:
. Andres Houseman1* , Molly L. Kile1, David C. Christiani2, Tan A. Ince3, Karl T. Kelsey4 and Carmen J
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...
