Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
-
Updated
Sep 12, 2024 - R
Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
Creation and selection of Parallel Factor Analysis models of longitudinal microbiome data.
Network construction, analysis, and comparison for microbial compositional data
short-read amplicon data visualization suite
🦠 A comprehensive R package for deep mining microbiome
This repo contains the R microshades package, which contains a color blind accessible color palette with 30 unique colors and functions for applying these colors to microbiome data.
A Bayesian model for the differential abundance analysis of microbiome sequencing data
A Shiny interface for the MicrobiomeStat R package, designed to facilitate analysis and visualization of microbiome data.
This repository contains R scripts for data analyses and visualization.
A project to evaluate the differences in bacterial association networks from rainforest and converted pasturelands in the Colombian Amazon region using CCLasso and SPRING inference methods
Analyzing microbiome data from Gigante, Barro Colorado, Panama. Part of an Undergraduate Thesis (defended on May 13th, 2022).
Code to reproduce the analyses from the paper "Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases"
This is the data and R code associated with our paper "A t-SNE Based Classification Approach to Compositional Microbiome Data"
Add a description, image, and links to the microbiome-data topic page so that developers can more easily learn about it.
To associate your repository with the microbiome-data topic, visit your repo's landing page and select "manage topics."