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Resources

  • ConQuR: Batch effects removal for microbiome data via conditional quantile regression. R. 

 

  • DeepEn-Phy: Deep ensemble learning over the microbial phylogenetic tree. Python.

 

  • MOSAIC: A pipeline for microbiome studies analytical integration and correction. Python, R, Shell.

 

  • SurvBal: Compositional microbiome balances for survival outcomes. [Shiny App]. R.

 

  • WEE: Weighted estimated equation approaches for secondary analysis in case-control studies. R.

 

  • ZINQ: Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach. R.

 

  • ZINQ-L: A zero-inflated quantile approach for differential abundance analysis of longitudinal microbiome data. R.

 

  • ZIQ: Statistical inference in quantile regression for zero-inflated outcomes. R.

 

  • ZIQRank: Zero-inflated quantile rank-score based test for scRNA-seq differential gene expression analysis. R.

 

 

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Weill Cornell Medicine Ling Lab 425 East 61st Street New York, NY 10065 Phone: (646) 967-5187

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