HIGHLIGHTS
- who: Huijuan Zhou from the AandM, College Station, USA have published the research: LinDA: linear models for differential abundance analysis of microbiome compositional data, in the Journal: (JOURNAL)
- what: The authors show that the compositional effects can be addressed by simple yet highly flexible and scalable approach. The authors show that LinDA enjoys asymptotic FDR control and can be extended to mixed-effect models for correlated microbiome data. Using simulations and real examples the authors demonstrate the effectiveness of LinDA. The authors propose a linear regression framework for differential abundance analysis (LinDA) to fill the . . .
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