Tols: Ordinary Least Square test
In MAVTgsa: Three methods to identify differentially expressed gene sets, ordinary least square test, Multivariate Analysis Of Variance test with n contrasts and Random forest.
Description
Usage
Arguments
Value
Author(s)
References
Description
To compute OLS statistic for one-sided test
Usage
1
Tols(x, y)
Arguments
x
Data matrix; row is sample; each column is variable(gene).
y
Vector defining the clinical outcome of the samples.
Value
Returns OLS test statistic for gene set analysis
Author(s)
Chih-Yi Chien, Chen-An Tsai, Ching-Wei Chang, and James J. Chen
References
Chen,J.J. et al. (2007) Significance analysis of group of genes in expression profiling studies, Bioinformatics, 23, 2104.
MAVTgsa documentation built on May 2, 2019, 6:37 a.m.
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Description Usage Arguments Value Author(s) References
Description
To compute OLS statistic for one-sided test
Usage
1 | Tols(x, y)
|
Arguments
x |
Data matrix; row is sample; each column is variable(gene). |
y |
Vector defining the clinical outcome of the samples. |
Value
Returns OLS test statistic for gene set analysis
Author(s)
Chih-Yi Chien, Chen-An Tsai, Ching-Wei Chang, and James J. Chen
References
Chen,J.J. et al. (2007) Significance analysis of group of genes in expression profiling studies, Bioinformatics, 23, 2104.
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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