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+# mmRmeta
+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. 
+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.