epi_iForest: Identifies epimutations using Isolation Forest
In isglobal-brge/EpiMutations: Robust outlier identification for DNA methylation data
epi_iForest R Documentation
Identifies epimutations using Isolation Forest
Description
This function identifies regions with CpGs being outliers
using isolation.forest approach.
Usage
epi_iForest(mixture, case_id, ntrees)
Arguments
mixture
beta values matrix. Samples in columns and
CpGs in rows.
case_id
a character string specifying the name of the case sample.
ntrees
number of binary trees to build for the model.
Default is 100.
Value
The function returns the outlier score for the given case sample.
isglobal-brge/EpiMutations documentation built on April 20, 2024, 9:05 a.m.
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| epi_iForest | R Documentation |
Identifies epimutations using Isolation Forest
Description
This function identifies regions with CpGs being outliers using isolation.forest approach.
Usage
epi_iForest(mixture, case_id, ntrees)
Arguments
mixture |
beta values matrix. Samples in columns and CpGs in rows. |
case_id |
a character string specifying the name of the case sample. |
ntrees |
number of binary trees to build for the model.
Default is |
Value
The function returns the outlier score for the given case sample.
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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