Starred repositories
Multiple imputation in Cox regression when there are time-varying effects of covariates. https://onlinelibrary.wiley.com/doi/full/10.1002/sim.7842
Code to reproduce the multi-omics benchmark study
Machine learning-based integration model with elegant performance
Multiresponse time-to-event Cox proportional hazards model - CPU
This repository contains code associated with the study "Proteomic signatures improve risk predictions for common and rare diseases" (DOI pending) The provided scripts are not designed to work out β¦
Extracting meaningful health information from large accelerometer datasets
The biggest collection of R books (and maybe later some other resources too)
A collection of commonly used formats for quick lookup.
Supplement for manuscript under submission: initial data analysis in the context of regression modeling
Given a scholarly PDF, extract figures, tables, captions, and section titles.
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
User guides, FAQs and tutorials related to CSC services
Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.
Workflow for processing and analyzing multi-omics data with MOFA
biotoolsregistry : discovery portal for bioinformatics
Analyses conducting GWAS across the UKBB diverse superpopulations
Ethical Hacking: Utilities for passwords augumentation and generation of passwords for people of interest
RubensZimbres / ML-Notebooks
Forked from dair-ai/ML-Notebooksπ₯ A series of code examples for all sorts of machine learning tasks and applications.
π A ranked list of awesome machine learning Python libraries. Updated weekly.
Joint Models for Longitudinal and Survival Data using MCMC
π Collaborative cheatsheets for console commands
RMD files and other resources for my on-campus course on medical statistics using the R language for statistical analysis.