sig.number: The number of significant genes in the FDR table at specified...
In TANOVA: Time Course Analysis of Variance for Microarray
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Estimate the number of significant genes in the FDR table using user specified cutoff.
Usage
1
sig.number(fdr.table,FDR=0.05,qt=-1)
Arguments
fdr.table
a table containing the estimated FDR for each gene
FDR
the false discovery cutoff, the default is 0.05
qt
a vector of quantiles for which FDR is estimated by averaging over B times
of number of false genes. If qt=0.25 (0.5, 0.75, 0.9), FDR is estimated by
25% (50%, 75%, 90%) quantiles of false genes over B times.Default is -1,
which means all genes are used.
Value
The function returns a number showing the number of significant genes at specified FDR cutoff.
Author(s)
Baiyu Zhou zhouby98@stanford.edu & Weihong xu weihongx@stanford.edu
See Also
TANOVA documentation built on May 29, 2017, 12:31 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Estimate the number of significant genes in the FDR table using user specified cutoff.
Usage
1 | sig.number(fdr.table,FDR=0.05,qt=-1)
|
Arguments
fdr.table |
a table containing the estimated FDR for each gene |
FDR |
the false discovery cutoff, the default is 0.05 |
qt |
a vector of quantiles for which FDR is estimated by averaging over B times of number of false genes. If qt=0.25 (0.5, 0.75, 0.9), FDR is estimated by 25% (50%, 75%, 90%) quantiles of false genes over B times.Default is -1, which means all genes are used. |
Value
The function returns a number showing the number of significant genes at specified FDR cutoff.
Author(s)
Baiyu Zhou zhouby98@stanford.edu & Weihong xu weihongx@stanford.edu
See Also
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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