eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data
Epigenome-wide association studies (EWAS) provide an alternative approach for studying human disease through consideration of non-genetic variants such as altered DNA methylation. To advance the complex interpretation of EWAS, we developed eFORGE (http://eforge.cs.ucl.ac.uk/), a new standalone and w...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
Elsevier
2016
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