plotSymbolstSNE

plotSymbolstSNE,DISCBIO-method

Visualizing the K-means clusters using tSNE maps

An open, multi-algorithmic pipeline for easy, fast and efficient
analysis of cellular sub-populations and the molecular signatures that
characterize them. The pipeline consists of four successive steps: data
pre-processing, cellular clustering with pseudo-temporal ordering, defining
differential expressed genes and biomarker identification. More details on
Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>. This package implements
extensions of the work published by Ghannoum et. al. (2019)
<doi:10.1101/700989>.

Waldir Leoncio

DIscBIO

A User-Friendly Pipeline for Biomarker Discovery in Single-Cell
Transcriptomics

Salim Ghannoum

Alvaro Köhn-Luque

Damiano Fantini

plotSymbolstSNE function

<dl><dt>object</dt>
<dd><code>DISCBIO</code> class object.</dd>
<dt>types</dt>
<dd>If types=NULL then the names of the cells will be grouped
automatically. Default is NULL</dd>
<dt>legloc</dt>
<dd>A keyword from the list "bottomright", "bottom", "bottomleft",
"left", "topleft", "top", "topright", "right" and "center". Default is
"bottomright"</dd></dl>

Arguments

tSNE map for K-means clustering with symbols — plotSymbolstSNE

<dl>

<dt>object</dt>
<dd><code>DISCBIO</code> class object.</dd>


<dt>types</dt>
<dd>If types=NULL then the names of the cells will be grouped
automatically. Default is NULL</dd>


<dt>legloc</dt>
<dd>A keyword from the list "bottomright", "bottom", "bottomleft",
"left", "topleft", "top", "topright", "right" and "center". Default is
"bottomright"</dd>

</dl>

plotSymbolstSNE: tSNE map for K-means clustering with symbols

Description

Usage

Value

Arguments