Contingency table. Necessary for Fisher test.
● Data Source:
CranContrib
● Keywords:
● Alias: contingency.table
●
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miR.test
(Package: miRtest) :
Main Function of miRtest package.
Main Function of miRtest package.
● Data Source:
CranContrib
● Keywords:
● Alias: miR.test
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gs.test
(Package: miRtest) :
Internal function for gene set testing.
Internal function for gene set testing.
● Data Source:
CranContrib
● Keywords:
● Alias: gs.test
●
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limma.one.sided
(Package: miRtest) :
Internal algorithm: Make limma test one-sided...
Internal algorithm: Make limma test one-sided
● Data Source:
CranContrib
● Keywords:
● Alias: limma.one.sided
●
0 images
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fisher.combination
(Package: miRtest) :
Fisher method of p value combination.
Fisher method of p value combination.
● Data Source:
CranContrib
● Keywords:
● Alias: fisher.combination
●
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limma.test
(Package: miRtest) :
internal algorithm for author's convenience.
internal algorithm for author's convenience. Create a linear model with the limma package.
● Data Source:
CranContrib
● Keywords:
● Alias: limma.test
●
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m.combine
(Package: miRtest) :
Internal function for author's convenience and more legible code.
Internal function for author's convenience and more legible code. Applies a function to every column vector of a matrix and a vector.
● Data Source:
CranContrib
● Keywords:
● Alias: m.combine
●
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Turn a data.frame indicating gene sets into the allocation matrix.
● Data Source:
CranContrib
● Keywords:
● Alias: generate.A
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Looking for differential expression in miRNA-data can have low power. Taking their respective mRNA-gene sets on the other hand can lead to too liberal results. In Artmann et al. we proposed a method to combine both information sources and generate p-values that can detect either miRNA- and target gene set expression differences.
● Data Source:
CranContrib
● Keywords: package, miRNA
● Alias: miRtest
●
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Part of expression data from Nielsen et al.
● Data Source:
CranContrib
● Keywords:
● Alias: X
●
0 images
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