get_indxs: Determines testing patient class based on the strength of its...
In LucaGiudice/Simpati: Pathway-based classifier exploits patient similarity network paradigm
Description
Usage
Arguments
Value
Description
Determines testing patient class based on the strength of its similarities with the training
patients that populate the two classes in comparison
Usage
1
get_indxs(PSNs_info, k1, th_v, k_feat, comp)
Arguments
PSNs_info
String character of the name of the testing profile
k1
Matrix: Original PSN with all the profiles both training and testing
th_v
Matrix: Clustering PSN of only training profiles
k_feat
Simpati object: List of variables
comp
Percentage of profiles of each class to compare with testing profile
Value
A dataframe of information for the profile class prediction, precisely:
A_strength: how much is WJ similar to A profiles similarities
B_strength: how much is WJ similar to B profiles similarities
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
Determines testing patient class based on the strength of its similarities with the training patients that populate the two classes in comparison
Usage
1 | get_indxs(PSNs_info, k1, th_v, k_feat, comp)
|
Arguments
PSNs_info |
String character of the name of the testing profile |
k1 |
Matrix: Original PSN with all the profiles both training and testing |
th_v |
Matrix: Clustering PSN of only training profiles |
k_feat |
Simpati object: List of variables |
comp |
Percentage of profiles of each class to compare with testing profile |
Value
A dataframe of information for the profile class prediction, precisely: A_strength: how much is WJ similar to A profiles similarities B_strength: how much is WJ similar to B profiles similarities
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.