Microarray Data From Multiple Biologically Interrelated Experiments
Overview
This package provides Knorm correlations between genes (or probes) from microarray data obtained across multiple biologically interrelated experiments. The Knorm correlation adjusts for experiment dependencies (correlations) and reduces to the Pearson coefficient when experiment dependencies are absent. The Knorm estimation approach can be generally applicable to obtain between-row correlations from data matrices with two-way dependencies.
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Documentation
- Help pages
- 2
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
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People & History
- RR 3.1.0 released · 2014-04-10
- archivedRemoved from CRAN2013-12-21maintainer address <slteng@stat.berkeley.edu> bounced
- RR 3.0.0 released · 2013-04-03
- RR 2.15.0 released · 2012-03-30
- RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- RR 2.10.0 released · 2009-10-26
- RR 2.9.0 released · 2009-04-17
- RR 2.8.0 released · 2008-10-20
- RR 2.7.0 released · 2008-04-22
- 1.02008-04-07
- RR 2.6.0 released · 2007-10-03
Package metadata
- First published
- 2008-04-07
- Total releases
- 1 / 18 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.4.0
- Bundled data
- 63 KB / 1 file
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