Articles

  • Dec 4, 2024 | biorxiv.org | Xuhua Yan |Kok Siong Ang |Lynn van Olst |Alex Edwards

    AbstractWith the advent of spatial multi-omics, we can mosaic integrate diverse datasets with partially overlapping modalities to construct consensus multi-modal spatial atlases of the source tissue. SpaMosaic is a spatial multi-omics mosaic integration tool that employs contrastive learning and graph neural networks to construct a modality-agnostic and batch-corrected latent space suited for analyses like spatial domain identification and imputing missing omes.

  • Oct 3, 2024 | biorxiv.org | Kok Siong Ang |Lynn van Olst |Alex Edwards |Xuhua Yan

    AbstractWith the advent of spatial multi-omics, we can mosaic integrate such datasets with partially overlapping modalities to construct higher dimensional views of the source tissue. SpaMosaic is a spatial multi-omics mosaic integration tool that employs contrastive learning and graph neural networks to construct a modality-agnostic and batch-corrected latent space suited for analyses like spatial domain identification and imputing missing omes.

  • Jun 21, 2024 | nature.com | Yahui Long |Kok Siong Ang |Raman Sethi |Lynn van Olst |Hang Xu |Lai Guan Ng | +3 more

    AbstractAdvances in spatial omics technologies now allow multiple types of data to be acquired from the same tissue slice. To realize the full potential of such data, we need spatially informed methods for data integration. Here, we introduce SpatialGlue, a graph neural network model with a dual-attention mechanism that deciphers spatial domains by intra-omics integration of spatial location and omics measurement followed by cross-omics integration.

  • Feb 9, 2024 | cell.com | Natalie Piehl |Brooke Simonton |Victoria Teregulova |Lynn van Olst

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