untreatedAnnots

A <code>data.frame</code> containing the source file, cell type and stimulation for every cell in
<code><a rd-options="" href="/link/refPhenoMat?package=bodenmiller&version=0.1.1" data-mini-rdoc="bodenmiller::refPhenoMat">refPhenoMat</a></code> and <code><a rd-options="" href="/link/refFuncMat?package=bodenmiller&version=0.1.1" data-mini-rdoc="bodenmiller::refFuncMat">refFuncMat</a></code>.
Stimulations include BCR/FcR-XL, PMA/Ionomycin and vanadate.See
<a href="https://www.nature.com/articles/nbt.2317/">Bodenmiller et al 2012</a>
for details.

datasets

This data package contains a subset of the Bodenmiller et al, Nat Biotech 2012 dataset for testing single cell, high dimensional analysis and visualization methods.

Yann Abraham

bodenmiller

Profiling of Peripheral Blood Mononuclear Cells using CyTOF

Bernd Bodenmiller

untreatedAnnots function

a data.frame with 15792 rows and 2 variables:<ul>
<li>Sourcethe name of the source (fcs) file</li>
<li>Treatmentthe treatment for the corresponding row in <code><a rd-options="" href="/link/refPhenoMat?package=bodenmiller&version=0.1.1" data-mini-rdoc="bodenmiller::refPhenoMat">refPhenoMat</a></code>
 or <code><a rd-options="" href="/link/refFuncMat?package=bodenmiller&version=0.1.1" data-mini-rdoc="bodenmiller::refFuncMat">refFuncMat</a></code></li>
<li>Cellsthe cell type for the corresponding row in <code><a rd-options="" href="/link/refPhenoMat?package=bodenmiller&version=0.1.1" data-mini-rdoc="bodenmiller::refPhenoMat">refPhenoMat</a></code>
 or <code><a rd-options="" href="/link/refFuncMat?package=bodenmiller&version=0.1.1" data-mini-rdoc="bodenmiller::refFuncMat">refFuncMat</a></code></li>
</ul>

Format

A <code>data.frame</code> containing the source file, cell type and stimulation for every cell in
<code><a rd-options='' href='refPhenoMat'>refPhenoMat</a></code> and <code><a rd-options='' href='refFuncMat'>refFuncMat</a></code>.
Stimulations include BCR/FcR-XL, PMA/Ionomycin and vanadate.See
<a href='https://www.nature.com/articles/nbt.2317/'>Bodenmiller et al 2012</a>
for details.

Untreated Samples with 4 Different Treatments (Annotation) — untreatedAnnots

a data.frame with 15792 rows and 2 variables:<ul>
<li>Sourcethe name of the source (fcs) file</li>
<li>Treatmentthe treatment for the corresponding row in <code><a rd-options='' href='refPhenoMat'>refPhenoMat</a></code>
 or <code><a rd-options='' href='refFuncMat'>refFuncMat</a></code></li>
<li>Cellsthe cell type for the corresponding row in <code><a rd-options='' href='refPhenoMat'>refPhenoMat</a></code>
 or <code><a rd-options='' href='refFuncMat'>refFuncMat</a></code></li>
</ul>

untreatedAnnots: Untreated Samples with 4 Different Treatments (Annotation)

Description

Usage

Arguments

Format