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: | Breeze, C, Paul, D, van Dongen, J, Butcher, L, Ambrose, J, Barrett, J, Lowe, R, Rakyan, V, Iotchkova, V, Frontini, M, Downes, K, Ouwehand, W, Laperle, J, Jacques, P, Bourque, G, Bergmann, A, Siebert, R, Vellenga, E, Saeed, S, Matarese, F, Martens, J, Stunnenberg, H, Teschendorff, A, Herrero, J, Birney, E, Dunham, I, Beck, S |
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格式: | Journal article |
語言: | English |
出版: |
Elsevier
2016
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