rogers1000.data: Simulated Gene Expression Data

In grndata: Synthetic Expression Data for Gene Regulatory Network Inference

Description

Dataset containing 1000 samples and 1000 genes generated by the publicly available generator using a power-law tail topology network with no added noise.

Usage

data(rogers1000.data)

Format

rogers1000.data is a data frame containing 1000 rows and 1000 columns. Each row contains a simulated microarray experiment and each column contains a gene.

Value

data.frame containg the data.

Source

sRogers with Power-law tail topology

References

Rogers, Simon, and Mark Girolami. "A Bayesian regression approach to the inference of regulatory networks from gene expression data." Bioinformatics 21.14 (2005): 3131-3137.

See Also

rogers1000.net, gnw1565.data, gnw2000.data, syntren300.data, syntren1000.data

Examples

    data(rogers1000.data)
    # Print size
    print(dim(rogers1000.data))

grndata documentation built on May 2, 2019, 4:53 p.m.