A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simulation of single-cell multi-omics data. Our model excels at maintaining in-silico perturbations during cross-modality generation and harnessing these perturbations to identify key genes.
☆16Aug 9, 2025Updated 10 months ago
Alternatives and similar repositories for scCross
Users that are interested in scCross are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bencharking pipeline for evaluating Transcriptomic representations for perturbation tasks☆13Nov 5, 2024Updated last year
- ☆21Jun 17, 2024Updated last year
- UNAGI: deep generative AI for virtual disease and unsuperivsed in-silico perturbations.☆57Feb 18, 2026Updated 3 months ago
- ☆10Oct 12, 2023Updated 2 years ago
- ☆56Dec 5, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆12Apr 3, 2023Updated 3 years ago
- Code associated with the manuscript Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in t…☆22Aug 19, 2022Updated 3 years ago
- scMODAL: A general deep learning framework for single-cell Multi-Omics Data Alignment with feature Links☆23Jun 10, 2025Updated last year
- Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)☆26Jun 2, 2026Updated last week
- A computational method scSemiProfiler that provides affordable single-cell data for large-scale disease cohorts using deep generative mod…☆26Jun 7, 2025Updated last year
- single-cell graph attentional clustering☆13Feb 10, 2022Updated 4 years ago
- A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders