Version 2 2021-12-05, 01:53Version 2 2021-12-05, 01:53
Version 1 2021-01-29, 01:40Version 1 2021-01-29, 01:40
dataset
posted on 2021-12-05, 01:53authored byMatthew P. Mulé, Andrew J. Martins, John TsangJohn Tsang
<p>Data for reproducing analysis
in the manuscript:<br>Normalizing and denoising
protein expression data from droplet-based single cell profiling<br>link to manuscript: <a href="https://www.biorxiv.org/content/10.1101/2020.02.24.963603v1">https://www.biorxiv.org/content/10.1101/2020.02.24.963603v1</a></p>
<p> </p>
<p>Data deposited here are for
the purposes of reproducing the analysis results and figures reported in the
manuscript above. These data are all publicly available downloaded and
converted to R datasets prior to Dec 4, 2020. For a full description of
all the data included in this repository and instructions for reproducing all
analysis results and figures, please see the repository: <a href="https://github.com/niaid/dsb_manuscript">https://github.com/niaid/dsb_manuscript</a>.
</p>
<p> </p>
<p>For usage of the dsb R
package for normalizing CITE-seq data please see the repository: <a href="https://github.com/niaid/dsb">https://github.com/niaid/dsb</a></p>
<p> </p>
<p>If you use the dsb R package
in your work please cite:<br>Mulè MP, Martins AJ, Tsang
JS. Normalizing and denoising protein expression data from droplet-based single
cell profiling. bioRxiv. 2020;2020.02.24.963603.</p>
<p> </p>
<p>General contact: John Tsang
(john.tsang AT nih.gov)</p>
Questions about software/code: Matt Mulè (mulemp
AT nih.gov)
Funding
Funded by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases (NIAID) and NIH Institutes supporting the Center for Human Immunology (CHI), National Institutes of Health, Bethesda, MD, USA
Integrative analysis and modeling of human immune responses and pathologies
National Institute of Allergy and Infectious Diseases