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Comment
. 2019 Jul 30;10(4):e00892-19.
doi: 10.1128/mBio.00892-19.

Identifying Composition Novelty in Microbiome Studies: Improvement for Prediction Accuracy

Yu Sun  1   2 , Yanling Li  3   2 , Qianqian Yuan  3   2 , Xi Fu  4
Affiliations
Comment

Identifying Composition Novelty in Microbiome Studies: Improvement for Prediction Accuracy

Yu Sun et al. mBio. .
No abstract available

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Figures

FIG 1
FIG 1
Bacterial compositions for one representative sample from a university dorm (A) and mosquito tissue (B). g_, genus; f_, family; o_, order; c_, class; p_, phylum; Alpha…acteria, Alphaproteobacteria; Sph…adales, Sphingomonadales; Sph…daceae, Sphingomonadaceae; Burk…riaceae, Burkholderiaceae; Pse_, Pseudomonadaceae; Mor_, Moraxellaceae; Ent_, Enterobacteriaceae; Oxa_, Oxalobacteraceae; Com_, Comamonadaceae; Met_, Methylophilaceae; Sph_, Sphingomonadaceae; Cau_, Caulobacteraceae; Lac_, Lachnospiraceae; Sta_, Staphylococcaceae; Int_, Intrasporangiaceae; Alphapro…aceteria, Alphaproteobacteria; Deltap…teria, Deltaproteobacteria; Myxoc…ales, Myxococcales; Sphingo…adales, Sphingomonadales; Act…es, Actinomycetales; Cl…es, Clostridiales; Caulob…rales, Caulobacterales; Enterb…iaceae, Enterobacteriaceae; Staphyl…caceae, Staphylococcaceae; Sping…aceae, Sphingomonadaceae; Comam…ceae, Comamonadaceae; Intr…eae, Intrasporangiaceae; Lach…eae, Lachnospiraceae; Cauloba…raceae, Caulobacteraceae.
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