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Machine learning-based integration model with elegant performance
rstanarm R package for Bayesian applied regression modeling
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
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
cquzys / SANGO
Forked from biomed-AI/SANGOThe official implementation for "SANGO".
A statistics and context decoding toolbox for neuroimaging.
A package to estimate biological organ age using SomaScan plasma proteomics data
Evaluating the effect of data balance on different classification metrics
Statistical fine-mapping pipeline in FinnGen