NeveRegions: Breast Cancer aCGH data with CGHcall
In isglobal-brge/CNVassoc: Association analysis of CNVs and imputed SNPs incorporating uncertainty
Description
Usage
Format
Value
Source
Description
Breast cancer aCGH data called with CGHcall with default settings, containing
2621 features and 50 samples
Usage
1
Format
An object of class CGHregions
Value
An object of class CGHregions with different slots containing the information
about genotype and phenotye data.
Source
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.
isglobal-brge/CNVassoc documentation built on May 30, 2019, 9:48 p.m.
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Description Usage Format Value Source
Description
Breast cancer aCGH data called with CGHcall with default settings, containing 2621 features and 50 samples
Usage
1 |
Format
An object of class CGHregions
Value
An object of class CGHregions with different slots containing the information about genotype and phenotye data.
Source
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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