scaling_matrix: 0-1 matrix standardization
In LucaGiudice/Simpati: Pathway-based classifier exploits patient similarity network paradigm
Description
Usage
Arguments
Value
Description
0-1 matrix standardization, the propagation feature values are standardized to reflect
how much are high/low with respect all the other features in the matrix
Usage
1
scaling_matrix(geno_p, min = 0, max = 1, capping = F)
Arguments
geno_p
Matrix of profiles (genes x samples)
min
Integer number to set the low limit of the range standardization. Default 0
max
Integer number to set the high limit of the range standardization. Default 1
Value
The same input matrix with standardized values
LucaGiudice/Simpati documentation built on Jan. 27, 2022, 11:42 p.m.
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.
Description Usage Arguments Value
Description
0-1 matrix standardization, the propagation feature values are standardized to reflect how much are high/low with respect all the other features in the matrix
Usage
1 | scaling_matrix(geno_p, min = 0, max = 1, capping = F)
|
Arguments
geno_p |
Matrix of profiles (genes x samples) |
min |
Integer number to set the low limit of the range standardization. Default 0 |
max |
Integer number to set the high limit of the range standardization. Default 1 |
Value
The same input matrix with standardized values
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.