Projects

Projects

Bayesian bivariate Conway–Maxwell–Poisson regression model for correlated count data in sports

We propose the use of the Conway–Maxwell–Poisson (CMP) model for analyzing count data in sports offering flexibility in modeling data with different levels of dispersion

Predicting Euro & Copa America - 2024

A statistical model to analyze the results of the Euro Cup and the Copa America 2024.

MultRegCMP: Bayesian Regression Model for Multivariate Count Data

An R package designed to fit a Bayesian Regression Model for multivariate count data where the data is distributed as Conway-Maxwell-Poisson distribution

Differential Expression Analysis of miRNAs from Sequencing Reads

Detection of differential expression of microRNAs and identify which miRNAs in-network may contribute to the functional bases of phenotypes of differential pigmentation and reduction of proliferation

Joint Transcriptomic Analysis of Lung Cancer and Other Lung Diseases

Identification of all deregulated genes and the transcriptional regulators (TFs) that are coexpressed during lung cancer

Lung Disease Risk Prediction in a Coal Mine

Survival Model to predict the risk of contracting a lung disease for workers of one of the largest coal mines in America.