IFAA: Robust Association Identification and Inference for Absolute Abundance in Microbiome Analyses

@article{Li2019IFAARA,
  title={IFAA: Robust Association Identification and Inference for Absolute Abundance in Microbiome Analyses},
  author={Z. Li and L. Tian and A. J. O’Malley and M. Karagas and A. Hoen and B. Christensen and J. Madan and Quran Wu and R. Gharaibeh and C. Jobin and Hongzhe Li},
  journal={arXiv: Applications},
  year={2019}
}
The target of inference in microbiome analyses is usually relative abundance (RA) because RA in a sample (e.g., stool) can be considered as an approximation of RA in an entire ecosystem (e.g., gut). However, inference on RA suffers from the fact that RA are calculated by dividing absolute abundances (AA) over the common denominator (CD), the summation of all AA (i.e., library size). Because of that, perturbation in one taxon will result in a change in the CD and thus cause false changes in RA… Expand
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