MetaTSP.mean: A Meta-Analytic K Top Scoring Pair via Mean Score Method
In metaOmics/MetaKTSP: A Meta-Analytic Top Scoring Pair Method for Robust Cross-Study Validation of Omics Prediction Analysis
Description
Usage
Arguments
Value
Author(s)
View source: R/MetaKTSP_Source.R
Description
MetaTSP.mean is a function of a meta-analytic top scoring pair (MetaTSP) algorithm via Mean score method.
Usage
1
MetaTSP.mean(DList, K.max, is.VO = TRUE, quantile.index = 10)
Arguments
DList
Input variable matrix (a list of multiple datasets; row=features, column=samples).
K.max
The maximum number of top score pairs.
is.VO
Logical value indicating whether K selection is Variance optimization (VO)
quantile.index
A quantile threshold for selecting top scoring pair. Default is 10.
Value
An object of class list is returned with components as following:
model includes meta k top scoring pairs (n by k-1).
num.K is the number of K meta top scoring pairs.
Author(s)
Chien-Wei Lin
metaOmics/MetaKTSP documentation built on May 29, 2019, 4:43 a.m.
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Description Usage Arguments Value Author(s)
View source: R/MetaKTSP_Source.R
Description
MetaTSP.mean is a function of a meta-analytic top scoring pair (MetaTSP) algorithm via Mean score method.
Usage
1 | MetaTSP.mean(DList, K.max, is.VO = TRUE, quantile.index = 10)
|
Arguments
DList |
Input variable matrix (a list of multiple datasets; row=features, column=samples). |
K.max |
The maximum number of top score pairs. |
is.VO |
Logical value indicating whether K selection is Variance optimization (VO) |
quantile.index |
A quantile threshold for selecting top scoring pair. Default is 10. |
Value
An object of class list is returned with components as following: model includes meta k top scoring pairs (n by k-1). num.K is the number of K meta top scoring pairs.
Author(s)
Chien-Wei Lin
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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