Python API to manage multi-omics digital objects
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Updated
Jul 4, 2024 - Python
Python API to manage multi-omics digital objects
Multimodal Data (.h5mu) implementation for Python
Molecular interactions inference from single-cell multi-omics data
A bioinformatics API to interface with public multi-omics bio databases for wicked fast data integration.
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
muon is a multimodal omics Python framework
gNOMO2 allows integrated multi-omics analyses of microbiomes
Depicting pseudotime-lagged causality for accurate gene-regulatory inference
Single-cell multi-omics integration using Optimal Transport
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"
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Flexible omics pipeline
Disease subnetwork detection with explainable Graph Neural Networks
Accompanying code for Image2Omics
Multimodal datasets, in MuData format
Implementation of Percolate, an exponential family JIVE statistical model for multi-view integration
The SUbgraph BAsed mulTI-OMIcs Clustering (SUBATOMIC) framework infers interpretable modules with a specific topology.
Multi-task deep learning framework for multi-omics data analysis
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