EpiDISH

EpiDISH infers the proportions of a priori known cell-types present in a sample representing a mixture of such cell-types from DNAm data.

Key Features:

• Blood-tissue deconvolution: Supports DNAm data from blood-tissue across all ages, from birth to old-age.
• Epithelial tissue deconvolution: Supports generic epithelial tissue DNAm data.
• Breast tissue deconvolution: Supports breast tissue DNAm data.
• Differentially methylated cell-type identification: Provides a function to identify differentially methylated cell-types and their directionality of change in Epigenome-Wide Association Studies.

Scientific Applications:

• Cell-type proportion estimation: Enables inference of known cell-type proportions in complex tissue mixtures using DNAm data.
• Epigenome-Wide Association Studies: Supports identification of cell-type-specific differential methylation and directionality of change in EWAS.

Methodology:

The package uses a priori known cell-type reference profiles to infer cell-type proportions from mixed-sample DNAm data.