dogear

enter for all results · esc to close

Multigrate

github.comtool

Asymmetric multi-omics variational autoencoder for integrating single-cell data across RNA, ATAC, and protein modalities with missing-modality support.

from
Computational Biology
added
2026-10-10
likes
0

similar

  1. scButterfly github.com

    Dual-aligned variational autoencoder for single-cell cross-modality translation between paired and unpaired multiomics data.

  2. JAMIE github.com

    Joint variational autoencoder for multimodal single-cell data imputation and embedding.

  3. GLUE github.com

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

  4. MIDAS github.com

    Mosaic integration and differential accessibility model for single-cell multi-omics that handles arbitrary missing-modality combinations across transcriptomics, chromatin accessibility, and proteomics.

  5. mergesam github.com
  6. BABEL github.com

    Cross-modality translation model enabling prediction between scRNA-seq and scATAC-seq profiles without requiring paired single-cell measurements.

Computational Biology › Machine Learning Tasks and Models > Foundation Models > Single-cell Foundation Models: “Asymmetric multi-omics variational autoencoder for integrating single-cell data across RNA, ATAC, and protein modalities with missing-modality support.”