dogear

enter for all results · esc to close

UnitedNet

github.comtool

Interpretable multi-task deep neural network for single-cell multi-omics integration spanning transcriptomics, chromatin accessibility, and proteomics.

from
Computational Biology
added
2026-10-10
likes
0

similar

  1. GLUE github.com

    Graph-Linked Unified Embedding framework for unpaired single-cell multi-omics data integration across RNA, ATAC, methylation, and protein modalities.

  2. DeepTalk github.com

    Graph attention network for deciphering cell-cell communication from spatial transcriptomics.

  3. CLM-X doi.org

    Multi-way Transformer foundation model jointly handling RNA-only, ATAC-only, and paired RNA–ATAC single-cell inputs for integration, translation, annotation, and perturbation prediction.

  4. SpatialGlue github.com

    Graph attention network for spatial multi-omics integration jointly embedding spatial transcriptomics with chromatin accessibility or proteomics.

  5. scMulan github.com

    Single-cell multi-omic language model pretrained on ~10M cells spanning transcriptomics, epigenomics, and proteomics for cross-omics transfer tasks.

  6. Concerto github.com

    Contrastive self-supervised learning framework for single-cell multimodal data integration, batch correction, and reference-query mapping.

Computational Biology › Machine Learning Tasks and Models > Foundation Models > Single-cell Foundation Models: “Interpretable multi-task deep neural network for single-cell multi-omics integration spanning transcriptomics, chromatin accessibility, and proteomics.”