testClustering: To check one iteration of clustering before running full...

Description Usage Arguments Value

Description

This function generates a single clustering iteration of CONCLUS to check whether chosen parameters for dbscan are suitable for your data.

Usage

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testClustering(sceObject, dataDirectory, experimentName,
  dbscanEpsilon = 1.4, minPts = 5, perplexities = c(30),
  PCs = c(4), randomSeed = 42, width = 7, height = 7, ...)

Arguments

sceObject

a SingleCellExperiment object with your experiment.

dataDirectory

output directory (supposed to be the same for one experiment during the workflow).

experimentName

name of the experiment which will appear in filenames (supposed to be the same for one experiment during the workflow).

dbscanEpsilon

a parameter of fpc::dbscan() function.

minPts

a parameter of fpc::dbscan() function.

perplexities

vector of perplexities (t-SNE parameter).

PCs

a vector of PCs for plotting.

randomSeed

random seed for reproducibility.

width

plot width.

height

plot height.

...

other pdf() arguments.

Value

t-SNE results, a distance graph plot, a t-SNE plot colored by test clustering solution.


PolinaPavlovich/CONCLUS documentation built on May 10, 2019, 2:42 p.m.