2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
SpaRED benchmark: Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion
Gabriel Mejia, Daniela Ruiz, Paula Cárdenas +3
Spatial Transcriptomics is a novel technology that aligns histology images with spatially resolved gene expression profiles. Although groundbreaking, it struggles with gene capture…
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…