Maintenance
Commit Frequency
Further analysis of the maintenance status of sccross based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.
We found that sccross demonstrates a positive version release cadence with at least one new version released in the past 12 months.
In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.
Single-cell multi-omics provides deep biological insights, but data scarcity and modality integration remain significant challenges. We introduce scCross, harnessing variational autoencoder and generative adversarial network (VAE-GAN) principles, meticulously designed to integrate diverse single-cell multi-omics data. Incorporating biological priors, scCross adeptly aligns modalities with enhanced relevance. Its standout feature is generating cross-modality single-cell data and in-silico perturbations, enabling deeper cellular state examinations and drug explorations. Applied to dual and triple-omics datasets, scCross maps data into a unified latent space, surpassing existing methods. By addressing data limitations and offering novel biological insights, scCross promises to advance single-cell research and therapeutic discovery.