From the 1 of 3 linked papers with an AI index.
3 papers
LATTICE: Graph Self-Supervised Learning for Multimodal Spatial Omics Integration
Jagan Mohan Reddy Dwarampudi, Veena Kochat, Suresh Satpati +3
LATTICE is a graph-based self‑supervised framework that learns spot‑level embeddings by integrating multimodal spatial omics data (RNA, ATAC, CUT&Tag) using a TransformerConv encod…
hSNMF: Hybrid Spatially Regularized NMF for Image-Derived Spatial Transcriptomics
Md Ishtyaq Mahmud, Veena Kochat, Suresh Satpati +4
High-resolution spatial transcriptomics platforms, such as Xenium, generate single-cell images that capture both molecular and spatial context, but their extremely high dimensional…
Benchmarking Dimensionality Reduction Techniques for Spatial Transcriptomics
Md Ishtyaq Mahmud, Veena Kochat, Suresh Satpati +3
We introduce a unified framework for evaluating dimensionality reduction techniques in spatial transcriptomics beyond standard PCA approaches. We benchmark six methods PCA, NMF, au…