Graph-linked unified embedding for single-cell multi-omics data integration
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Updated
Nov 10, 2025 - Python
Graph-linked unified embedding for single-cell multi-omics data integration
Context specific and dynamic gene regulatory network reconstruction and analysis
R package to visualize gene expression data based on weighted kernel density estimation
Tutorial of single-cell RNA-ATAC multiomic sequencing data analysis
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
Accurate and fast cell marker gene identification with COSG
𝒫robabilistic modeling of RNA velocity ⬱
An unsupervised approach for the integrative analysis of single-cell multi-omics data
Python package implementing our method MatchCLOT for multimodal single-cell data integration
scNOVA : Single-Cell Nucleosome Occupancy and genetic Variation Analysis
R and MATLAB scripts for MAGICAL
Luo Lab snmCT-seq bioinformatics pipeline for joint single-nucleus methylation & transcriptome profiles.
scMagnify is a versatile Python toolkit for inferring and analyzing gene regulatory networks (GRNs) from single-cell multi-omic datasets
SCOIT is an implementation of a probabilistic tensor decomposition framework for single-cell multi-omics data integration.
bioinformatics pipeline for single-nucleus methylation & chromatin conformation capture assay (sn-m3C-seq)
Single-cell eQTL mapping and causal gene regulatory network inference at high efficiency and accuracy
Code and guides for the SCRGOT Coder Upgrade single cell analysis workshop
Containerized workflow for single cell detection of loss of Y chromosome and other mosaic chromosomal alterations in chronic kidney disease
Pipeline to process sc-ATAC data with pyCistopic
MSc Project - Integrative Analysis of Single-Nucleus RNA-Seq and ATAC-Seq of C9orf72 Knockout Mouse Brain
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