puma
Propagating Uncertainty in Microarray Analysis
Most analyses of Affymetrix GeneChip data are based on
point estimates of expression levels and ignore the uncertainty
of such estimates. By propagating uncertainty to downstream
analyses we can improve results from microarray analyses. For
the first time, the puma package makes a suite of uncertainty
propagation methods available to a general audience. puma also
offers improvements in terms of scope and speed of execution
over previously available uncertainty propagation methods.
Included are summarisation, differential expression detection,
clustering and PCA methods, together with useful plotting and
data manipulation functions.
| Author |
Richard D. Pearson, Xuejun Liu, Magnus Rattray, Marta Milo,
Neil D. Lawrence, Guido Sanguinetti |
| Maintainer |
Richard Pearson |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("puma")
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