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

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Pretty interesting @PeerJPreprints article about normalizing microbiome sequencing count data. In addition to the content, I think the article is well written/organized and I appreciated their discussion points. :) https://t.co/nB4mCXteKE
192 days ago
RT @host_microbe: GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t…
192 days ago
RT @host_microbe: GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t…
202 days ago
RT @host_microbe: GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t…
RT @host_microbe: GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t…
GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t.co/PyO6aqDJMD
GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t.co/d6qvyUPB2d #microbiomebot
GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t.co/Z1R1RDWmLT
202 days ago
GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data https://t.co/lPfuE26Yhw
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…
312 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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Supplemental Information

Supplementary File containing Table S1, S2, Figure S1, S2

DOI: 10.7287/peerj.preprints.3417v3/supp-1

Additional Information

Competing Interests

Jun Chen is an Academic Editor for PeerJ.

Author Contributions

Li Chen analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

James Reeve authored or reviewed drafts of the paper, approved the final draft.

Lujun Zhang contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Shengbing Huang prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Xuefeng Wang approved the final draft, offered expertise to improve the manuscript.

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

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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