sc3_run_svm {SC3} | R Documentation

## Run the hybrid `SVM` approach.

### Description

This method parallelize `SVM` prediction for each `k` (the number of clusters). Namely, for each `k`, `support_vector_machines` function is utilized to predict the labels of study cells. Training cells are selected using `svm_train_inds` item of the `sc3` slot of the `metadata(object)`.

### Usage

    sc3_run_svm.SingleCellExperiment(object, ks)

    ## S4 method for signature 'SingleCellExperiment'
    sc3_run_svm(object, ks = NULL)

### Arguments

`object` | an object of `SingleCellExperiment` class
`ks` | a continuous range of integers - the number of clusters `k` to be used for SC3 clustering. Can also be a single integer.

### Details

Results are written to the `sc3_k_clusters` columns to the `colData` slot of the input `object`, where `k` is the number of clusters.

### Value

an object of `SingleCellExperiment` class

[Package SC3 version 1.16.0 Index]