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  "Description": "MethylMix is an algorithm implemented to identify hyper\nand hypomethylated genes for a disease. MethylMix is based on a\nbeta mixture model to identify methylation states and compares\nthem with the normal DNA methylation state. MethylMix uses a\nnovel statistic, the Differential Methylation value or DM-value\ndefined as the difference of a methylation state with the\nnormal methylation state. Finally, matched gene expression data\nis used to identify, besides differential, functional\nmethylation states by focusing on methylation changes that\neffect gene expression. References: Gevaert 0. MethylMix: an R\npackage for identifying DNA methylation-driven genes.\nBioinformatics (Oxford, England). 2015;31(11):1839-41.\ndoi:10.1093/bioinformatics/btv020. Gevaert O, Tibshirani R,\nPlevritis SK. Pancancer analysis of DNA methylation-driven\ngenes using MethylMix. Genome Biology. 2015;16(1):17.\ndoi:10.1186/s13059-014-0579-8.",
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      "title": "MethylMix",
      "author": "| Olivier Gevaert | | Stanford Center for Biomedical Informatics | Department of Medicine | 1265 Welch Road | Stanford CA, 94305-5479",
      "engine": "knitr::rmarkdown",
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        "7. References",
        "8. Sesssion Info"
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      "modified": "2018-08-30 17:52:07",
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