Identifying unmeasured heterogeneity in microbiome data via quantile thresholding (QuanT)

Key Points

• The aim is to identify unmeasured heterogeneity within microbiome data using a new tool called QuanT.
• Development of a non-parametric method for analysis.
• Application of QuanT to microbiome data.
• Enhancement of downstream analyses through data integration.
• QuanT effectively identifies previously unmeasured heterogeneity.
• Significant improvements in data analysis outcomes reported.
• Facilitated integration of diverse microbiome datasets.