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Reference-free method for conducting EWAS while deconvoluting DNA methylation arising as mixtures of cell types. The older method (Houseman et al., 2014,<doi:10.1093/bioinformatics/btu029>) is similar to surrogate variable analysis (SVA and ISVA), except that it makes additional use of a biological mixture assumption. The newer method (Houseman et al., 2016, <doi:10.1186/s12859-016-1140-4>) is similar to non-negative matrix factorization, with additional constraints and additional utilities.
Package details |
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Author | E. Andres Houseman, Sc.D. |
Maintainer | E. Andres Houseman <eahouseman@gmail.com> |
License | GPL (>= 2) |
Version | 2.2 |
Package repository | View on CRAN |
Installation |
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