functions to estimate the Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT)

Explainable Machine Learning in Survival Analysis

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

A comprehensive classification tool based on pure transcriptomics for precision medicine

For inferring ancestry, gestational age, and cell type proportions from placental DNA methylation array data

Data for the obscure blog of an even more obscure retired scientist.

Projetos criados com R.

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Deep learning framework for the mlr3 ecosystem based on torch

LinkOrgs: An R package for linking linking records on organizations using half a billion open-collaborated records from LinkedIn

Probabilistic Learning for mlr3

Balance Permutation Test (Rametta, Fuller 2024)

Script and data assosiated with basil genetic mapping for QTL analysis

Estudo transversal que analisou dados retrospectivos de gestantes e puérperas com diagnóstico de Síndrome Respiratória Aguda Grave (SRAG) entre janeiro de 2016 e novembro de 2021.

R-Data Analyzing & Machine Learning

PaRtitiOned empirical Bayes Ecm (PROBE)

This script utilizes Monocle3 for inferring pseudotime and employs gradient boosting machine learning (xgboost) to identify genes predictive of pseudotime. Subsequently, it fits a regression model using these newly identified genes.

mlr3: Machine Learning in R - next generation

Development of a Shiny application for survival data analysis

Using Transformers from HuggingFace in R