sub_clustering {scGPS} | R Documentation

## sub_clustering for selected cells

### Description

performs 40 clustering runs or more depending on windows

### Usage

    sub_clustering(
      object = NULL,
      ngenes = 1500,
      windows = seq(from = 0.025, to = 1, by = 0.025),
      select_cell_index = NULL
    )

### Arguments

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

### Value

clustering results

### Author(s)

Quan Nguyen, 2018-01-31

### Examples

    day5 <- day_5_cardio_cell_sample
    mixedpop2 <-new_summarized_scGPS_object(ExpressionMatrix = day5$dat5_counts,
        GeneMetadata = day5$dat5geneInfo, CellMetadata = day5$dat5_clusters)
    test_sub_clustering <-sub_clustering(mixedpop2,
        select_cell_index = c(seq_len(100)))

[Package scGPS version 1.8.0 Index]