feature_selection: Function to select probes with a high variance
In bcm-uga/medepir: MEthylation DEconvoluation PIpeline in R
Description
Usage
Arguments
Value
View source: R/pre_treatments.R
Description
This function select probes with the largest variance
Usage
1
feature_selection(D, number = 5000)
Arguments
D
The matrix of dimension patients*probes.
number
number of largest variance probes to keep
Value
This function return the D matrix with selected probes.
bcm-uga/medepir documentation built on Oct. 11, 2020, 2 a.m.
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Description Usage Arguments Value
View source: R/pre_treatments.R
Description
This function select probes with the largest variance
Usage
1 | feature_selection(D, number = 5000)
|
Arguments
D |
The matrix of dimension patients*probes. |
number |
number of largest variance probes to keep |
Value
This function return the D matrix with selected probes.
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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