sigSegments-class: Significant segments
In KCsmart: Multi sample aCGH analysis package using kernel convolution
Description
Objects from the Class
Slots
Methods
Examples
Description
Lists the significant segments found in a given sample point matrix using a given significance level
Objects from the Class
Objects can not be created by the user directly but rather through getSigSegments.
Slots
gains:Gained segments
losses:Lost segments
sigma:The sigma used for the kernel to calculate the sample point matrix.
sigLevels:The significance levels at which significant segments are calculated
Methods
- show
signature(object = "sigSegments"): ...
- write.table
signature(x = "sigSegments"): ...
Examples
1
showClass("sigSegments")
KCsmart documentation built on Nov. 8, 2020, 7:08 p.m.
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Description Objects from the Class Slots Methods Examples
Description
Lists the significant segments found in a given sample point matrix using a given significance level
Objects from the Class
Objects can not be created by the user directly but rather through getSigSegments.
Slots
gains:Gained segments
losses:Lost segments
sigma:The sigma used for the kernel to calculate the sample point matrix.
sigLevels:The significance levels at which significant segments are calculated
Methods
- show
signature(object = "sigSegments"): ...- write.table
signature(x = "sigSegments"): ...
Examples
1 | showClass("sigSegments")
|
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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