metagenomeSeq-package: Statistical analysis for sparse high-throughput sequencing
In HCBravoLab/metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
metagenomeSeq-package R Documentation
Statistical analysis for sparse high-throughput sequencing
Description
metagenomeSeq is designed to determine features (be it Operational Taxanomic Unit (OTU), species, etc.) that are differentially abundant between two or more groups of multiple samples. metagenomeSeq is designed to address the effects of both normalization and under-sampling of microbial communities on disease association detection and the testing of feature correlations.
A user's guide is available, and can be opened by typing vignette("metagenomeSeq")
The metagenomeSeq package implements novel normalization and statistical methodology in the following papers.
Author(s)
Paulson, JN <jpaulson@umiacs.umd.edu>; Pop, M; Corrada Bravo, H
References
Paulson, Joseph N., O. Colin Stine, Hector Corrada Bravo, and Mihai Pop. "Differential abundance analysis for microbial marker-gene surveys." Nature methods (2013).
HCBravoLab/metagenomeSeq documentation built on March 17, 2024, 3:21 p.m.
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| metagenomeSeq-package | R Documentation |
Statistical analysis for sparse high-throughput sequencing
Description
metagenomeSeq is designed to determine features (be it Operational Taxanomic Unit (OTU), species, etc.) that are differentially abundant between two or more groups of multiple samples. metagenomeSeq is designed to address the effects of both normalization and under-sampling of microbial communities on disease association detection and the testing of feature correlations.
A user's guide is available, and can be opened by typing vignette("metagenomeSeq")
The metagenomeSeq package implements novel normalization and statistical methodology in the following papers.
Author(s)
Paulson, JN <jpaulson@umiacs.umd.edu>; Pop, M; Corrada Bravo, H
References
Paulson, Joseph N., O. Colin Stine, Hector Corrada Bravo, and Mihai Pop. "Differential abundance analysis for microbial marker-gene surveys." Nature methods (2013).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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