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Dataset supporting: Normalizing and denoising protein expression data from droplet-based single cell profiling

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posted on 29.01.2021, 01:40 by Matthew P. Mulé, Andrew J. Martins, John Tsang

Data for reproducing analysis in the manuscript:
Normalizing and denoising protein expression data from droplet-based single cell profiling
link to manuscript: https://www.biorxiv.org/content/10.1101/2020.02.24.963603v1

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: https://github.com/niaid/dsb_manuscript.

For usage of the dsb R package for normalizing CITE-seq data please see the repository: https://github.com/niaid/dsb

If you use the dsb R package in your work please cite:
Mulè MP, Martins AJ, Tsang JS. Normalizing and denoising protein expression data from droplet-based single cell profiling. bioRxiv. 2020;2020.02.24.963603.

General contact: John Tsang (john.tsang AT nih.gov)

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

1ZIAAI001152 (NIAID)

1ZICAI001226 (NIH CHI)

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  • AI - National Institute of Allergy and Infectious Diseases (NIAID)

Is this associated with a publication?

Yes

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I confirm there is no human identifiable information in this dataset.

Yes

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