3 papers
cs.LG2026
LATTICE: Graph Self-Supervised Learning for Multimodal Spatial Omics Integration
Jagan Mohan Reddy Dwarampudi, Veena Kochat, Suresh Satpati +3
Spatially resolved omics studies increasingly combine transcriptomic and epigenomic assays, yet downstream analysis is often still performed using single-modality pipelines. We pre…
cs.LG2026
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…
q-bio.GN2025
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…