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sebastianlieske · Aug 11, 2020 · 325690b · 325690b
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 R Package for the Analysis of Multimodal Genes
 
 
-## Description 
-mmRmeta is a framework to analyze multi-omics data such as RNA-seq and DNA methylation data with the focus on bimodal genes. 
-The workflow of mmRmeta consists of three major steps (outlined in Figure 2). First, the data needs to be acquired and preprocessed. 
-This is followed by the identification of bimodally expressed genes. The package mmRmeta uses mclust for model-based clustering to obtain parameter estimates and the cluster assignment of the samples. 
+## Description
+mmRmeta is a framework to analyze multi-omics data such as RNA-seq and DNA methylation data with the focus on bimodal genes.
+The workflow of mmRmeta consists of three major steps (outlined in Figure 2). First, the data needs to be acquired and preprocessed.
+This is followed by the identification of bimodally expressed genes. The package mmRmeta uses mclust for model-based clustering to obtain parameter estimates and the cluster assignment of the samples.
 The third step is the multi-omics analysis to find relations between bimodally expressed genes and the phenotypes of the patient population via modeling regularized logistic regressions and conducting survival analyses with Cox proportional hazard models.
+
+![Overview](/vignettes/overview.svg)