Machine learning-based integration model with elegant performance

rstanarm R package for Bayesian applied regression modeling

GATHER compliant code for the GBD

This repository contains code to derive prediction models for a total of 28 outcomes in the EPIC-Norfolk cohort (Day et al. 1997) using plasma proteomic data obtained with the Olink Explore platform.

Daskalakis et al. 2024 Science code

An R/Bioconductor package that implements a single-sample molecular phenotyping approach

CT-FM (Cell Type Fine-Mapping) pipeline

A Fully Bayesian Inference of Tumor Microenvironment composition and gene expression

pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.

SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.

Gene regulatory network inference for RNA velocity and pseudotime data

Scalable sequence-informed embedding of single-cell ATAC-seq data with CellSpace

Example download scripts for the OASIS3 project

The official implementation for "SANGO".

R implementation of GeneTrajectory

A statistics and context decoding toolbox for neuroimaging.

A package to estimate biological organ age using SomaScan plasma proteomics data

Decision curve analysis library for Python

Evaluating the effect of data balance on different classification metrics

PCA & Kinship pipeline

Tools for doing x way meta-analysis

Statistical fine-mapping pipeline in FinnGen