data_preparation: Controls the user-provided input data
In LucaGiudice/Simpati: Pathway-based classifier exploits patient similarity network paradigm
Description
Usage
Arguments
Value
Description
Prepare the user-provided input data to Simpati workflow
In case this step does not produce errors, then Simpati workflow is ready to classify and enrich the data
Usage
1
data_preparation(geno, info, net, pathways_l, n_cores = 5)
Arguments
geno
A numeric matrix of patient profiles: features (e.g. genes) x samples
info
A character matrix of info about the patients: patient_ID | class (e.g. clinical information)
Value
A list with the prepared geno and info matrix
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
Prepare the user-provided input data to Simpati workflow In case this step does not produce errors, then Simpati workflow is ready to classify and enrich the data
Usage
1 | data_preparation(geno, info, net, pathways_l, n_cores = 5)
|
Arguments
geno |
A numeric matrix of patient profiles: features (e.g. genes) x samples |
info |
A character matrix of info about the patients: patient_ID | class (e.g. clinical information) |
Value
A list with the prepared geno and info matrix
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.