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r-doubletdecon

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This package is designed to identify doublets in single-cell RNA-seq data sets. It achieves this in a two-fold manner: 1) Identifying putative doublets by comparing deconvolution-based profiles of each cell to those of average synthetic doublets, which are created based on specified initial groups clusters. 2) Identifying doublet clusters by combining frequency of called doublets within a cluster (from step 1) and lack of unique gene expression compared to other clusters. Together, these results can identify individual doublets and doublet clusters for removal before continuing data analysis.

Installation

To install this package, run one of the following:

Conda
$conda install paul.martin-2::r-doubletdecon

Usage Tracking

1.1.5
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About

Summary

This package is designed to identify doublets in single-cell RNA-seq data sets. It achieves this in a two-fold manner: 1) Identifying putative doublets by comparing deconvolution-based profiles of each cell to those of average synthetic doublets, which are created based on specified initial groups clusters. 2) Identifying doublet clusters by combining frequency of called doublets within a cluster (from step 1) and lack of unique gene expression compared to other clusters. Together, these results can identify individual doublets and doublet clusters for removal before continuing data analysis.

Last Updated

Jul 8, 2020 at 18:53

License

MIT

Supported Platforms

linux-64