ProgPerm: Progressive permutation for a dynamic representation of the robustness of microbiome discoveries

ProgPerm: Progressive permutation for a dynamic representation of the robustness of microbiome discoveries

Background: Identification of features is a critical task in microbiome studies that is complicated by the fact that microbial data are high dimensional and heterogeneous. Masked by the complexity of the data, the problem of separating signals (differential features between groups) from noise (featu...

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Bibliographic Details
Main Authors: Do, K.-A (Author), Jenq, R.R (Author), Peterson, C.B (Author), Shi, Y. (Author), Zhang, L. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
article
controlled study
Data visualization
Differential test
Dynamic representation
feature selection
Feature selection
Fragility index
High-dimensional
microbiome
Microbiome
Microbiota
microflora
Multiple testing
nonhuman
nonparametric test
Non-parametric test
Permutation
probability
Probability
rank sum test
Robustness
Signal strengths
simulation
Statistics, Nonparametric
Testing
Testing method
Wilcoxon rank sum test
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