Article

Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing

2016-09-22

Abstract excerpt

The number of microbial and metagenomic studies has increased drastically due to advance-ments in next-generation sequencing-based measurement techniques. Statistical analysis and the validity of conclusions drawn from (time series) 16S rRNA and other metagenomic sequencing data is hampered by the presence of significant amount of noise and missing data (sampling zeros). Accounting uncertainty in microbiome data i...

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Literature Corpus work: fd139272-8c14-59c7-a493-310ebd5c0614
DOI: 10.1101/076836

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