simDat: Simulated Data From 2-component Mixture Models

In nickytong/SIBER: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

Description

Data from 2-component mixture models (NB, GP and LN) is simulated with the true parameters given for testing and illustration purpose.

Details

The data frame contains the following data objects: \itemparListA list of true parameters. There are three named elements (NB, GP and LN) corresponding to the parameters used to simulate gene expression data from NB, GP and LN mixture models. Each element is a 6 by 5 matrix giving the true parameters generating the simulated data. \itemdataListA list of matrices for simulated gene expression data. There are three named elements (NB, GP and LN) corresponding to the simulate gene expression data from NB, GP and LN mixture models. Each element is a 6 by 200 matrix. That is, 6 genes (rows) are simulated with 200 samples (columns). The first 3 genes in each matrix are from 2-component mixture model while the last 3 genes are from 0-inflated models.

References

Tong, P., Chen, Y., Su, X. and Coombes, K. R. (2012). Systematic Identification of Bimodally Expressed Genes Using RNAseq Data. Bioinformatics, submitted.

nickytong/SIBER documentation built on May 23, 2019, 5:08 p.m.