sim_WJ: Determine the first component of the Trending Matching...
In LucaGiudice/Simpati: Pathway-based classifier exploits patient similarity network paradigm
Description
Usage
Arguments
Value
View source: R/funs_measures.R
Description
Given the matrix of patient's profiles, it measures how much the feature information varies between patients.
In case the information is similar between two patients, then this similarity is high.
Usage
1
Arguments
input_m
Matrix of profiles (genes x samples)
samples_at_columns
Boolean. TRUE if samples to compute similarity are at column.
Value
A similarity matrix aka PSN with the values provided with this first component measure
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
View source: R/funs_measures.R
Description
Given the matrix of patient's profiles, it measures how much the feature information varies between patients. In case the information is similar between two patients, then this similarity is high.
Usage
1 |
Arguments
input_m |
Matrix of profiles (genes x samples) |
samples_at_columns |
Boolean. TRUE if samples to compute similarity are at column. |
Value
A similarity matrix aka PSN with the values provided with this first component measure
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.