NeveRegions

Breast cancer aCGH data called with CGHcall with default settings, containing 2621 features and 50 samples

datasets

This package carries out association analysis of common
        copy number variants in population-based studies. This package
        includes functions for analysing association under a series of
        study designs (case-control, cohort, etc), using several
        dependent variables (class status, censored data, counts) as
        response, adjusting for covariates and considering various
        inheritance models. It also includes functions for inferring
        copy number (CNV genotype calling).  Various classes and
        methods for generic functions (print, summary, plot, anova, ...
        ) have been created to facilitate the analysis.

Juan Gonzalez

CNVassoc

Association analysis of CNV data

NeveRegions function

format

Neve RM, Chin K, Fridlyand J et al. A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes. Cancer Cell, 10:515-527, 2006.Gonzalez JR, Subirana I, Escaramis G, Peraza S, Caceres A, Estivill X and Armengol L. Accounting for uncertainty when assessing association between copy number and disease: a latent class model. BMC Bioinformatics, 2009;10:172.

NeveRegions: Breast Cancer aCGH data with CGHcall

Description

Usage

Arguments

format

source