Python implementation of NetICS (Network-based Integration of Multi-omics data).
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Updated
Aug 27, 2021 - Python
Python implementation of NetICS (Network-based Integration of Multi-omics data).
Multi-task deep learning framework for multi-omics data analysis
The SUbgraph BAsed mulTI-OMIcs Clustering (SUBATOMIC) framework infers interpretable modules with a specific topology.
Implementation of Percolate, an exponential family JIVE statistical model for multi-view integration
Multimodal datasets, in MuData format
Accompanying code for Image2Omics
Disease subnetwork detection with explainable Graph Neural Networks
Flexible omics pipeline
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Code for the paper "scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration"
Data and scripts to reproduce experiments for Mowgli.
Single-cell multi-omics integration using Optimal Transport
Depicting pseudotime-lagged causality for accurate gene-regulatory inference
gNOMO2 allows integrated multi-omics analyses of microbiomes
muon is a multimodal omics Python framework
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
DeepResponse: Large Scale Prediction of Cancer Cell Line Drug Response with Deep Learning Based Pharmacogenomic Modelling
A bioinformatics API to interface with public multi-omics bio databases for wicked fast data integration.
Molecular interactions inference from single-cell multi-omics data
Multimodal Data (.h5mu) implementation for Python
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