2 citations · 2 across the 1 of their papers we have counts for
3 papers
Hyperbolic Contrastive Learning with Entailment for Spatial Transcriptomics
Daniela Vega, Paula Cárdenas, Hannah Ceballos +2
Spatial Transcriptomics (ST) has transformed biomedical research by enabling the spatial mapping of gene expression across tissue sections. However, high operational costs, special…
Completing Spatial Transcriptomics Data for Gene Expression Prediction Benchmarking
Daniela Ruiz, Paula Cárdenas, Leonardo Manrique +3
Spatial Transcriptomics is a groundbreaking technology that integrates histology images with spatially resolved gene expression profiles. Among the various Spatial Transcriptomics…
SEPAL: Spatial Gene Expression Prediction from Local Graphs
Gabriel Mejia, Paula Cárdenas, Daniela Ruiz +2
Spatial transcriptomics is an emerging technology that aligns histopathology images with spatially resolved gene expression profiling. It holds the potential for understanding many…