farmer2005: Breast cancer microarray dataset
In desiR: Desirability Functions for Ranking, Selecting, and Integrating Data
Description
Format
Details
References
Description
1000 randomly selected probesets from a breast cancer microarray
dataset (Farmer et al., 2005).
Format
A data frame with 1000 rows and 7 variables:
- ProbeSet:
Affymetrix probesets from the U133A chip.
- GeneID:
Gene symbol.
- logFC:
Log2 fold change for the basal versus luminal comparison.
- AveExpr:
Mean expression across all samples.
- P.Value:
P-value for basal versus luminal comparison.
- SD:
Standard deviation across all samples.
- PCNA.cor:
Correlation with PCNA (a marker of proliferating cells).
Details
These data are the results from an analysis comparing the basal and
luminal samples. The apocrine samples are excluded.
References
Farmer P, Bonnefoi H, Becette V, Tubiana-Hulin M, Fumoleau P,
Larsimont D, Macgrogan G, Bergh J, Cameron D, Goldstein D, Duss S, Nicoulaz
AL, Brisken C, Fiche M, Delorenzi M, Iggo R. Identification of molecular
apocrine breast tumours by microarray analysis. Oncogene. 2005
24(29):4660-4671.
desiR documentation built on April 17, 2021, 1:07 a.m.
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Description Format Details References
Description
1000 randomly selected probesets from a breast cancer microarray dataset (Farmer et al., 2005).
Format
A data frame with 1000 rows and 7 variables:
- ProbeSet:
Affymetrix probesets from the U133A chip.
- GeneID:
Gene symbol.
- logFC:
Log2 fold change for the basal versus luminal comparison.
- AveExpr:
Mean expression across all samples.
- P.Value:
P-value for basal versus luminal comparison.
- SD:
Standard deviation across all samples.
- PCNA.cor:
Correlation with PCNA (a marker of proliferating cells).
Details
These data are the results from an analysis comparing the basal and luminal samples. The apocrine samples are excluded.
References
Farmer P, Bonnefoi H, Becette V, Tubiana-Hulin M, Fumoleau P, Larsimont D, Macgrogan G, Bergh J, Cameron D, Goldstein D, Duss S, Nicoulaz AL, Brisken C, Fiche M, Delorenzi M, Iggo R. Identification of molecular apocrine breast tumours by microarray analysis. Oncogene. 2005 24(29):4660-4671.
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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