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Márcio Fernandes Alves Leite's Projects

afs_microbiome icon afs_microbiome

This repository contain the scripts used to the paper: Microbiome resilience of Amazonian forests: secondary succession convergence to fungi and agroforest divergence to bacteria

atlas icon atlas

ATLAS - Three commands to start analysing your metagenome data

cbfm icon cbfm

Spatio-temporal joint species distribution modeling using community-level basis functions

daa icon daa

Code and Data in manuscript: A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions

dmg-symposium icon dmg-symposium

In this repository, you will find the references used in my presentation for the DMG symposium “Practical applications of metagenomics towards typing”. The title of my presentation is You must choose, but choose wisely: Model-based approaches for microbial community analysis and data integration.

dtmm icon dtmm

Dirichlet-tree Multinomial Mixtures

fishtaco icon fishtaco

FishTaco (Functional Shifts Taxonomic Contributors) is a metagenomic computational framework that aims to identify the driver taxa of microbiome functional shifts

gjam-promise icon gjam-promise

A repository of the GJAM analysis performed for the PROMISE project.

gllvm icon gllvm

Generalized Linear Latent Variable Models

glmms_workflow icon glmms_workflow

This space will be used to maintain the script and functions file associated with the paper "A versatile workflow for linear modelling in R" published in Frontiers of Ecology and Evolution.

graphbio icon graphbio

GraphBio: a shiny web app to easily perform popular visualization analysis for omics data

gromovmatcher icon gromovmatcher

Automated Alignment of Untargeted Metabolic Datasets with Optimal Transport

hmsc icon hmsc

Hierarchical modelling of species community

jsdm icon jsdm

R package for joint species distribution models

microbiome-friday-2023-09-08 icon microbiome-friday-2023-09-08

In this repository, you will find the references used in my presentation for the Microbiome Friday. The title of my presentation is The data essence is not invisible to the eyes: exploring microbiome data through the lens of model-based approaches.

mvgam icon mvgam

Bayesian Generalised Additive Models for discrete time series

picrust2_ml icon picrust2_ml

Code, unit tests, and tutorials for running PICRUSt2

pysr icon pysr

High-Performance Symbolic Regression in Python

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