Genetic and Molecular Epidemiology Laboratory

This is a slightly changed version of Cell-type-enrichment , that tries to find genes that show tissue specific expression patterns regardless of cell types and then look at variance in different cell types. Includes a downloadable interactive HTML.PLEASE CHECK Cell-type-enrichment FIRST AS ALL THE METHODS ARE DESCRIBED THERE

universal_plot_maker_plus.py is a flexible and general‑purpose interactive plotting tool for exploring large tabular datasets (TSV/CSV). It produces a self‑contained HTML file with dynamic controls that allow end‑users to switch axes, filter data, search, sort, zoom, and export selected subsets — all without requiring Python or Plotly installed.

This is an enhanced version of cell type enrichment script to identify and compare cell type specific gene expression and visualize that in an interactive way. Includes a downloadable interactive HTML- sample cell type specific expression comparison tool.

A heritability-optimized scoring method using multivariate adaptive regression splines that incorporates 75 variant- and gene-level features. RovHer leverages exome-wide association statistics to train models estimating the probability of RV functional impact.

An R package for polygenic risk score (PRS) generation that applies multivariate adaptive regression splines (MARS) to integrate genetic information from multiple related traits. The pipeline uses PCA-based variant transformations and a unique genotype-level cross-validation approach, eliminating the need for participant-level train/test split.

Utilities for linear regression-based statistical computation, particularly in the same vein as methods like MonsterLM and RARity

Tools for blazingly fast statistical analysis in R

An R-based software package which automates a stratified Mendelian randomization (MR) algorithm designed to identify effect modifiers of causal relationships