multi-modal-analysis

Here are 2 public repositories matching this topic...

AltschulerWu-Lab / MUSE

MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states for spatially resolved transcriptomics data.

deep-learning clustering tensorflow data-integration spatial-transcriptomics single-cell-ananlysis multi-modal-analysis

Updated May 10, 2022
Jupyter Notebook

dn070017 / CAVACHON

Star

Cell cluster Analysis with Variational Autoencoder using Conditional Hierarchy Of latent representioN

variational-autoencoder single-cell-omics multi-modal-analysis

Updated Dec 14, 2023
Python

Improve this page

Add a description, image, and links to the multi-modal-analysis topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the multi-modal-analysis topic, visit your repo's landing page and select "manage topics."

Learn more

Provide feedback

Saved searches

Use saved searches to filter your results more quickly