muon is a multimodal omics Python framework
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Updated
May 30, 2024 - Python
muon is a multimodal omics Python framework
Multimodal Data (.h5mu) implementation for Python
Multi-task deep learning framework for multi-omics data analysis
Single-cell multi-omics integration using Optimal Transport
A bioinformatics API to interface with public multi-omics bio databases for wicked fast data integration.
Disease subnetwork detection with explainable Graph Neural Networks
Flexible omics pipeline
Molecular interactions inference from single-cell multi-omics data
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.
The SUbgraph BAsed mulTI-OMIcs Clustering (SUBATOMIC) framework infers interpretable modules with a specific topology.
Depicting pseudotime-lagged causality for accurate gene-regulatory inference
Multimodal datasets, in MuData format
Accompanying code for Image2Omics
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
Data and scripts to reproduce experiments for Mowgli.
Code for the paper "scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration"
Python implementation of NetICS (Network-based Integration of Multi-omics data).
Implementation of Percolate, an exponential family JIVE statistical model for multi-view integration
Python API to manage multi-omics digital objects
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
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