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GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data

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GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t.co/7u2OSkCXZk
GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t.co/wYTM33oLCo
GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t.co/GsqeRdCO87 Normalization is the first critical step in microbiome sequencing data analysis used to account for variable library sizes. Current R…
24 days ago
GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t.co/28rVn2GZip
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Additional Information

Competing Interests

Jun Chen is an Academic Editor for PeerJ.

Author Contributions

Li Chen analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

James Reeve analyzed the data, wrote the paper, reviewed drafts of the paper.

Lujun Zhang contributed reagents/materials/analysis tools, reviewed drafts of the paper.

Shengbing Huang prepared figures and/or tables, reviewed drafts of the paper.

Jun Chen conceived and designed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

https://github.com/jchen1981/GMPR

Funding

This work was supported by Mayo Clinic Center for Individualized Medicine The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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