get_cluster_result: Obtain the clustering result

In tinglabs/reCAT: Reconstructing Cell Cycle Pseudo Time-Series via Single-Cell Transcriptome Data

Description

This function obtains the clustering result from reCAT, bayes and mean scores, and the time series ordering.

Usage

get_cluster_result(test_exp, ensembleResultLst, resultLst, cls_num)

Arguments

test_exp	The pre-processed input data
ensembleResultLst	This can be obtained from the automatically saved .RData file in your working directory.
resultLst	This can be obtained from the automatically saved .RData file in your working directory.
cls_num	The desired number of clusters to view (value > 10)

Examples

test_exp <- get_test_exp(data)
data_ordIndex <- get_ordIndex(test_exp, 2)
# Load the following .RData file from your local working directory, it is automatically generated when you perform the function 'get_ordIndex'
load("../data/bestEnsembleComplexTSP 10 - N  .RData")
cls_result = get_cluster_result(test_exp = test_exp, ensembleResultLst = ensembleResultLst,
                               resultLst = resultLst, cls_num = 20)

tinglabs/reCAT documentation built on March 16, 2021, 12:08 a.m.