Dataset supporting: Normalizing and denoising protein expression data from droplet-based single cell profiling
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
Integrative analysis and modeling of human immune responses and pathologies
National Institute of Allergy and Infectious Diseases
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Select an IC:
- AI - National Institute of Allergy and Infectious Diseases (NIAID)
Is this associated with a publication?
- Yes
DOI(s) of associated publication(s):
I confirm there is no human identifiable information in this dataset.
- Yes
