Reply to: Examining microbe-metabolite correlations by linear methods
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Citations
What We Know So Far about the Metabolite-Mediated Microbiota-Intestinal Immunity Dialogue and How to Hear the Sound of This Crosstalk.
Untargeted Metabolomics Sensitively Differentiates Gut Bacterial Species in Single Culture and Co-Culture Systems
Compositionally aware estimation of cross-correlations for microbiome data
The volatilome reveals toxicity, microbial composition, and indicators of ecosystem stress in a critical Oregon freshwater lake
The volatilome reveals microcystin concentration, microbial composition, and oxidative stress in a critical Oregon freshwater lake
References
Distributed Representations of Words and Phrases and their Compositionality
Inferring Correlation Networks from Genomic Survey Data
The Statistical Analysis of Compositional Data
American Gut: an Open Platform for Citizen Science Microbiome Research.
Dealing with Zeros and Missing Values in Compositional Data Sets Using Nonparametric Imputation
Frequently Asked Questions (9)
Q2. What is the way to calculate the metabolite counts?
Microbial counts were then drawn from a multinomial logistic normal distribution and fed into MMvec to generate the metabolite counts.
Q3. How many samples were removed from the biocrust soils study?
Taxa that appeared in less than 10 samples for each study were removed, since there are fewer samples than degrees of freedom in the model to infer these microbes co-occurrence patterns.
Q4. What is the purpose of the study?
The simulations were created by using the generative form of MMvec; the microbe and metabolite factor loadings were randomly generated from a normal distribution to parameterize the MMvec parameters.
Q5. What is the common method used in the study?
Involved in the study Antibodies Eukaryotic cell lines Palaeontology Animals and other organisms Human research participants Clinical data Methods n/a Involved in the study ChIP-seq Flow cytometry MRI-based neuroimaging
Q6. What is the way to test a hypothesis?
For null hypothesis testing, the test statistic (e.g. F, t, r) with confidence intervals, effect sizes, degrees of freedom and P value noted Give P values as exact values whenever suitable.
Q7. What is the policy for submitting data to editors/reviewers?
For manuscripts utilizing custom algorithms or software that are central to the research but not yet described in published literature, software must be made available to editors/reviewers.
Q8. What is the way to determine the performance of CLR correlations?
To identify scenarios where CLR correlations underperformed in comparison to MMvec, the authors used Bayesian Optimization to tune the distributions used to generate the simulations.
Q9. What is the definition of the statistical test?
A description of all covariates tested A description of any assumptions or corrections, such as tests of normality and adjustment for multiple comparisons A full description of the statistical parameters including central tendency (e.g. means) or other basic estimates (e.g. regression coefficient) AND variation (e.g. standard deviation) or associated estimates of uncertainty (e.g. confidence intervals)