messina-package: The Messina package for classification and outlier...
In messina: Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems
Description
Details
Author(s)
References
See Also
Description
Single-gene classifiers and outlier-resistant detection of
differential expression for two-group and survival
problems.
Details
Messina is a collection of algorithms for constructing
optimally robust single-gene classifiers, and for
identifying differential expression in the presence of
outliers or unknown sample subgroups. The methods have
application in identifying lead features to develop into
clinical tests (both diagnostic and prognostic), and in
identifying differential expression when a fraction of
samples show unusual patterns of expression.
Author(s)
Mark Pinese m.pinese@garvan.org.au
References
Pinese M, Scarlett CJ, Kench JG, et al. (2009) Messina: A
Novel Analysis Tool to Identify Biologically Relevant
Molecules in Disease. PLoS ONE 4(4): e5337.
doi:10.1371/journal.pone.0005337
See Also
messina documentation built on Nov. 8, 2020, 7:47 p.m.
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Description Details Author(s) References See Also
Description
Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems.
Details
Messina is a collection of algorithms for constructing optimally robust single-gene classifiers, and for identifying differential expression in the presence of outliers or unknown sample subgroups. The methods have application in identifying lead features to develop into clinical tests (both diagnostic and prognostic), and in identifying differential expression when a fraction of samples show unusual patterns of expression.
Author(s)
Mark Pinese m.pinese@garvan.org.au
References
Pinese M, Scarlett CJ, Kench JG, et al. (2009) Messina: A Novel Analysis Tool to Identify Biologically Relevant Molecules in Disease. PLoS ONE 4(4): e5337. doi:10.1371/journal.pone.0005337
See Also
R Package Documentation
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