small_panel.preprocessed

<p>Small pre-processed data from Pagoda2, two samples, each dimension (1000, 100)</p>

datasets

Wires together large collections of single-cell RNA-seq datasets, which allows for both the identification of recurrent cell clusters and the propagation of information between datasets in multi-sample or atlas-scale collections. 'Conos' focuses on the uniform mapping of homologous cell types across heterogeneous sample collections. For instance, users could investigate a collection of dozens of peripheral blood samples from cancer patients combined with dozens of controls, which perhaps includes samples of a related tissue such as lymph nodes. This package interacts with data available through the 'conosPanel' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/conos>. The size of the 'conosPanel' package is approximately 12 MB.

Evan Biederstedt

conos

Clustering on Network of Samples

Viktor Petukhov

Nikolas Barkas

Peter Kharchenko

Weiliang Qiu

small_panel.preprocessed function

<p>An object of class <code>list</code> of length 2.</p>

Format

Small pre-processed data from Pagoda2, two samples, each dimension (1000, 100) — small_panel.preprocessed

Small pre-processed data from Pagoda2, two samples, each dimension (1000, 100)

small_panel.preprocessed: Small pre-processed data from Pagoda2, two samples, each dimension (1000, 100)

Description

Usage

Arguments

Format