CORE_subcluster {scGPS} | R Documentation

## sub_clustering (optional) after running CORE 'test'

### Description

CORE_subcluster allows re-cluster the CORE clustering result

### Usage

    CORE_subcluster(mixedpop = NULL, windows = seq(from = 0.025, to = 1, by
      = 0.025), select_cell_index = NULL, ngenes = 1500)

### Arguments

`mixedpop` | is a SingleCellExperiment object from the train mixed population
`windows` | a numeric specifying the number of windows to test
`select_cell_index` | a vector containing indexes for cells in selected clusters to be reclustered
`ngenes` | number of genes used for clustering calculations.

### Value

a `list` with clustering results of all iterations, and a selected optimal resolution

### Author(s)

Quan Nguyen, 2017-11-25

### Examples

    day5 <- day_5_cardio_cell_sample
    mixedpop2 <-new_summarized_scGPS_object(ExpressionMatrix = day5$dat5_counts,
        GeneMetadata = day5$dat5geneInfo, CellMetadata = day5$dat5_clusters)
    test <- CORE_clustering(mixedpop2,remove_outlier= c(0))

[Package scGPS version 1.2.0 Index]