Conquering confounds and covariates: methods, library and guidance
-
Updated
Mar 21, 2024 - Python
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.
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.
MPH Capstone Data Management & Analysis
My intership at the IBEAS lab
Some solved problems of ROSALIND
Coursework for Advanced Biostats; Learning Playground for R
COmbinatorial Padlock-Probe-Amplified Fluorescence In Situ Hybridization
Add a description, image, and links to the biostatistics topic page so that developers can more easily learn about it.
To associate your repository with the biostatistics topic, visit your repo's landing page and select "manage topics."