PrepSCTIntegration

A list of objects to prep for integration

object.list

Name or vector of assay names (one for each object) that correspond
to the assay that SCTransform has been run on. If NULL, the current default
assay for each object is used.

assay

Can be either:<ul>
<li>A numeric value. This will call <code><a rd-options="" href="/link/SelectIntegrationFeatures?package=Seurat&version=3.1.0" data-mini-rdoc="Seurat::SelectIntegrationFeatures">SelectIntegrationFeatures</a></code>
 to select the provided number of features to be used in anchor finding</li>
<li>A vector of features to be used as input to the anchor finding
 process</li>
</ul>

anchor.features

Numeric of length two specifying the min and max values
the Pearson residual will be clipped to

sct.clip.range

verbose

Prepare an object list that has been run through SCTransform for integration

A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Butler A and Satija R (2017) <doi:10.1101/164889> for more details.

Paul Hoffman

Seurat

Tools for Single Cell Genomics

Rahul Satija

Andrew Butler

Tim Stuart

Jeff Farrell

Shiwei Zheng

Christoph Hafemeister

Patrick Roelli

Yuhan Hao

PrepSCTIntegration function

Can be either:<ul>
<li>A numeric value. This will call <code><a rd-options='' href='SelectIntegrationFeatures'>SelectIntegrationFeatures</a></code>
 to select the provided number of features to be used in anchor finding</li>
<li>A vector of features to be used as input to the anchor finding
 process</li>
</ul>

PrepSCTIntegration: Prepare an object list that has been run through SCTransform for integration

Description

Usage

Arguments

Value