breast: Example dataset for learning gene regulatory network.

In GGMM: Mixture Gaussian Graphical Models

Description

Breast cancer is one of the most prevalent types of cancer which can be classified into four molecular subtypes, namely, luminal A, basal-like, HER2-enriched, and lu- minal B, based on their tumor expression profiles (Haque et al, 2012). In this study, we aim to construct a single gene regulatory network across the four subtypes to discover the overall gene regulation mechanism in breast cancer. It should be used in BRGM(data,...).

Usage

data(breast)

Format

breast

a nxp breast cancer gene expression data.

References

Haque, R., Ahmed, S. A., Inzhakova, G., Shi, J., Avila, C., Polikoff, J., ... and Press, M. F. (2012). Impact of breast cancer subtypes and treatment on survival: an analysis spanning two decades. Cancer Epidemiology and Prevention Biomarkers, 21(10), 1848-1855.

GGMM documentation built on May 1, 2019, 9:36 p.m.