sig.gene70: Signature used to compute the 70 genes prognosis profile...
In bhklab/genefu: Computation of Gene Expression-Based Signatures in Breast Cancer
sig.gene70 R Documentation
Signature used to compute the 70 genes prognosis profile (GENE70) as published by van't Veer et al. 2002
Description
List of 70 agilent probe ids representing 56 unique genes included in the GENE70 signature. The EntrezGene.ID allows for mapping and the "average.good.prognosis.profile" values allows for signature computation.
Usage
data(sig.gene70)
Format
sig.gene70 is a matrix with 9 columns containing the annotations and information related to the signature itself.
Source
http://www.nature.com/nature/journal/v415/n6871/full/415530a.html
References
L. J. van't Veer and H. Dai and M. J. van de Vijver and Y. D. He and A. A. Hart and M. Mao and H. L. Peterse and K. van der Kooy and M. J. Marton and A. T. Witteveen and G. J. Schreiber and R. M. Kerkhiven and C. Roberts and P. S. Linsley and R. Bernards and S. H. Friend (2002) "Gene Expression Profiling Predicts Clinical Outcome of Breast Cancer", Nature, 415:530–536.
bhklab/genefu documentation built on June 2, 2022, 2:56 p.m.
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| sig.gene70 | R Documentation |
Signature used to compute the 70 genes prognosis profile (GENE70) as published by van't Veer et al. 2002
Description
List of 70 agilent probe ids representing 56 unique genes included in the GENE70 signature. The EntrezGene.ID allows for mapping and the "average.good.prognosis.profile" values allows for signature computation.
Usage
data(sig.gene70)
Format
sig.gene70 is a matrix with 9 columns containing the annotations and information related to the signature itself.
Source
http://www.nature.com/nature/journal/v415/n6871/full/415530a.html
References
L. J. van't Veer and H. Dai and M. J. van de Vijver and Y. D. He and A. A. Hart and M. Mao and H. L. Peterse and K. van der Kooy and M. J. Marton and A. T. Witteveen and G. J. Schreiber and R. M. Kerkhiven and C. Roberts and P. S. Linsley and R. Bernards and S. H. Friend (2002) "Gene Expression Profiling Predicts Clinical Outcome of Breast Cancer", Nature, 415:530–536.
R Package Documentation
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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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