simdata: simdata

In bnClustOmics: Bayesian Network-Based Clustering of Multi-Omics Data

simdata

Description

A list of two matrices containing simulated mutations and transcriptome data (normalized, transformed) for three clusters. The generative model is the mixture of Bayesian networks (linear Gaussian model). The networks are stored in the dataset 'simdags'. Ground truth cluster assigments are stored in the dataset 'simclusters'

Usage

simdata

Format

a list of two matrices: 'M', 90 rows (samples) and 20 columns (mutations), 'T' 90 rows and 100 columns (gene expression)

bnClustOmics documentation built on Aug. 5, 2022, 5:11 p.m.