Conquering confounds and covariates: methods, library and guidance

A Python package for gene network analysis

missing data handing: visualize and impute

pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets

Bayesian Gene Heritability Analysis from GWAS summary statistics

An Intuitive App for Statistical Analysis

Stochastic Gene Ontology Enrichment Analyses (GOEA) Simulations in manscript + Multiple-Test Correction Simulations

Examples of code that can be used to perform data analysis in R or Python.

Data Mining and Machine Learning at Big Data Summer Institute

Open Source Web application for bioinformatics,biologist,data scientist

Command line tool that writes commands to run one by one to perform analyses (mainly using qiime2) on a HPC running Slurm, Torque or none of these.

📊 Upload CSV/Excel files to generate boxplots, run ANOVA, and auto-calculate Tukey HSD — no coding needed.

An free and open source community implementation of Chai-1 in PyTorch

MPH Capstone Data Management & Analysis

BioMetaGenie - a wrapper toolkit

In this work, we formulate a mechanistic model consisting of three first-order Ordinary Differential Equations (ODEs) to describe ethanol production for mezcal by the Saccharomyces cerevisiae yeast using glucose and fructose as substrates.

Optimization and Evolutionary Algorithms in Python: This repository provides Python implementations of popular optimization and evolutionary algorithms, designed to tackle complex computational problems inspired by natural processes. These algorithms are widely used in various domains like optimization, machine learning, and engineering.

Coursework for Advanced Biostats; Learning Playground for R

My internship at the IBEAS lab