mlim: single and multiple imputation with automated machine learning

A chronological age predictor based on DNA methylation

Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

This repository accompanies our Cell Metabolism manuscript "Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems"

A multi-tissue transcriptional age calculator

MOSS: Multi-Omic integration via Sparse Singular Decomposition

Fast Sparse Linear Models for Big Data with SAGA

Prediction of subjective cognitive decline with noisy data (focus: sensible feature selection)

R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.

Clinical significance of sex hormone levels in testis carcinoma

Research project in machine learning - to solve a simplifies version of the netflix challenge

Feature Selection using Elastic net function in the glmnet R package

🧠 Machine learning analysis for the paper named "Predicting 3-year persistent or recurrent major depressive episode using machine learning techniques".

Comparing the different types of Regression

LASSO, elastic net, Adaptive LASSO, SCAD methods for determining top predictors for each method

Default-Risk Prediction & Screening at Loan Origination in P2P Consumer Lending, with a Double Machine Learning Extension of the Effects of Longer Terms and High Interest Rates

Imputing immunogenic phenotypes using Elastic Net to infer causality between gut microbiome and immune system.

R Shiny dashboard demonstrating validation-first analytics for clinical trial duration forecasting. Random split R² = 0.84 vs time-based R² = 0.04—why validation strategy matters more than model selection.

Predicting House Prices Based on Varied ML Methods Such as Random Forest and XGBoost

Elastic Net, Lasso and Ridge models can be analyzed by the formula format.