Real.2-data: Real Dataset #2: Genomic Dataset (p >> n case)

Description Usage Format Acknowledgments Author(s) Source References See Also

Description

Publicly available lung cancer genomic data from the Chemores Cohort Study. This data is part of an integrated study of mRNA, miRNA and clinical variables to characterize the molecular distinctions between squamous cell carcinoma (SCC) and adenocarcinoma (AC) in Non Small Cell Lung Cancer (NSCLC) aside large cell lung carcinoma (LCC). Tissue samples were analysed from a cohort of 123 patients, who underwent complete surgical resection at the Institut Mutualiste Montsouris (Paris, France) between 30 January 2002 and 26 June 2006. The studied outcome was the "Disease-Free Survival Time". Patients were followed until the first relapse occurred or administrative censoring. In this genomic dataset, the expression levels of Agilent miRNA probes (p=939) were included from the n=123 cohort samples. The miRNA data contains normalized expression levels. See below the paper by Lazar et al. (2013) and Array Express data repository for complete description of the samples, tissue preparation, Agilent array technology, and data normalization. In addition to the genomic data, five clinical variables, also evaluated on the cohort samples, are included as continuous variable ('Age') and nominal variables ('Type','KRAS.status','EGFR.status','P53.status'). This dataset represents a situation where the number of covariates dominates the number of complete observations, or p >> n case. See Lazar et al. (2013) and the CHEMORES Consortium website for more details.

Usage

1

Format

Dataset consists of a numeric data.frame containing n=123 complete observations (samples) by rows and p=939 genomic covariates by columns, not including the censoring indicator and (censored) time-to-event variables. It comes as a compressed Rda data file.

Acknowledgments

This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University. This project was partially funded by the National Institutes of Health NIH - National Cancer Institute (R01-CA160593) to J-E. Dazard and J.S. Rao.

Author(s)

Maintainer: "Jean-Eudes Dazard, Ph.D." [email protected]

Source

See real data application in Dazard et al., 2015.

References

See Also

Array Express data repository at the European Bioinformatics Institute. Accession number: #E-MTAB-1134 (MIR): www.ebi.ac.uk/arrayexpress/

CHEMORES Consortium website: http://www.chemores.ki.se/index.html


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