ANCOMBC

ANCOMBC performs differential abundance and correlation analyses for microbiome data with bias correction.

Key Features:

• Differential Abundance Analysis: Includes ANCOM-BC2, ANCOM-BC, and ANCOM methodologies for detecting differentially abundant taxa in microbiome data.
• Correlation Analysis: Implements SECOM (Sparse Estimation of Correlations among Microbiomes) for correlation analysis of microbiome data.
• Bias Correction: Corrects for unequal sampling fractions (sample-specific biases) and differential sequencing efficiencies (taxon-specific biases).
• Statistical Consistency: Constructs statistically consistent estimators to address compositional biases in microbiome data.

Scientific Applications:

• Microbiome Differential Abundance Testing: Identifies taxa with significantly different abundances across experimental conditions while correcting for compositional and technical biases.
• Microbial Correlation Network Inference: Estimates sparse correlation structures among microbial taxa from compositional sequencing data.

Methodology:

The package implements ANCOM-BC2, ANCOM-BC, ANCOM, and SECOM methodologies to correct sample-specific and taxon-specific biases and construct statistically consistent estimators.