Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples

10.1371/journal.pcbi.1000352

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Bibliographic Details
Main Authors:	White J.R., Nagarajan N., Pop M.
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Article
Published:	2019
Subjects:	RNA 16S bacterial DNA article bacterium computer program Fisher exact test gene expression gene sequence human human experiment infant intermethod comparison intestine metabolism metagenomics microbiome normal human simulation statistical analysis virus chromosome map classification gene expression profiling genetics isolation and purification methodology microbiology obesity Bacteria (microorganisms) Bacteria Chromosome Mapping DNA, Bacterial Gene Expression Profiling Humans Intestines Obesity
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/161676
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1616762024-04-24T05:52:26Z Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples White J.R. Nagarajan N. Pop M. DEPARTMENT OF COMPUTER SCIENCE MEDICINE RNA 16S bacterial DNA article bacterium computer program Fisher exact test gene expression gene sequence human human experiment infant intermethod comparison intestine metabolism metagenomics microbiome normal human simulation statistical analysis virus bacterium chromosome map classification gene expression profiling genetics intestine isolation and purification methodology microbiology obesity Bacteria (microorganisms) Bacteria Chromosome Mapping DNA, Bacterial Gene Expression Profiling Humans Intestines Obesity 10.1371/journal.pcbi.1000352 PLoS Computational Biology 5 4 2019-11-06T09:36:09Z 2019-11-06T09:36:09Z 2009 Article White J.R., Nagarajan N., Pop M. (2009). Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples. PLoS Computational Biology 5 (4). ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pcbi.1000352 1553734X https://scholarbank.nus.edu.sg/handle/10635/161676 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	RNA 16S bacterial DNA article bacterium computer program Fisher exact test gene expression gene sequence human human experiment infant intermethod comparison intestine metabolism metagenomics microbiome normal human simulation statistical analysis virus bacterium chromosome map classification gene expression profiling genetics intestine isolation and purification methodology microbiology obesity Bacteria (microorganisms) Bacteria Chromosome Mapping DNA, Bacterial Gene Expression Profiling Humans Intestines Obesity
spellingShingle	RNA 16S bacterial DNA article bacterium computer program Fisher exact test gene expression gene sequence human human experiment infant intermethod comparison intestine metabolism metagenomics microbiome normal human simulation statistical analysis virus bacterium chromosome map classification gene expression profiling genetics intestine isolation and purification methodology microbiology obesity Bacteria (microorganisms) Bacteria Chromosome Mapping DNA, Bacterial Gene Expression Profiling Humans Intestines Obesity White J.R. Nagarajan N. Pop M. Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples
description	10.1371/journal.pcbi.1000352
author2	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE White J.R. Nagarajan N. Pop M.
format	Article
author	White J.R. Nagarajan N. Pop M.
author_sort	White J.R.
title	Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples
title_short	Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples
title_full	Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples
title_fullStr	Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples
title_full_unstemmed	Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples
title_sort	statistical methods for detecting differentially abundant features in clinical metagenomic samples
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/161676
_version_	1800913805379633152

Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples

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