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Differential abundance (DA) and correlation analyses for microbial absolute abundance data
Archive: Data, scripts, and outputs for the Nat. Comm. paper "Analysis of Composition of Microbiomes with Bias Correction". Please check our ANCOMBC R package for the most up-to-date ANCOM-BC funct…
MetagenOmic read Re-Assigner and abundance quantifier
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
An R package for data analysis in microbial community ecology
Compositional correction and normalizati CC98 on for sparse, under-sampled count data
Statistical analysis for sparse high-throughput sequencing
Calculate the normalizing factors for zeroinflated sequencing data such as microbiome sequencing data
Workflow for ZINB-WaVE + apeglm intergration for single-cell RNA-seq
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Statistical inference about right-censored c-indices
Visualize incomplete and imputed data with the R package `ggmice`
Modin: Scale your Pandas workflows by changing a single line of code
Workflow for ZINB-WaVE + DESeq2 intergration for single-cell RNA-seq
This package removes unwanted variation from raw sequencing count data using Negative Binomial and/or Zero Inflated Negative Binomial model. Thus far, the package has been applied to remove unwante…
R Extension for Visual Studio Code
Clone of the Bioconductor repository for the zinbwave package, see https://bioconductor.org/packages/zinbwave
ivartb / ConQuR_par
Forked from wdl2459/ConQuRBatch effects removal for microbiome data via conditional quantile regression
Batch effects removal for microbiome data via conditional quantile regression