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Completing spatial transcriptomics data for gene expression prediction benchmarking

delete2025-08-19
delete0
PRE
AI
D
Daniela Ruiz *
P
Paula Cárdenas
L
Leonardo Manrique
D
Daniela Vega
G
Gabriel Mejia
P
Pablo Arbeláez
DOI：10.1016/j.media.2025.103754delete
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Abstract

Abstract

En 中文
• Release of SpaRED, a preprocessed set of 26 Spatial Transcriptomics datasets. • Propose SpaCKLE, a transformer-based method to complete missing gene expressions. • Benchmarking of eight common models for gene expression from histology images. • Open-source database and gene completion model with an easy-to-use Python library.
Keywords:
SpaRED
SpaCKLE
spatial transcriptomics
gene expression completion
histology images

Journal

Medical Image Analysis cover
Medical Image Analysis
IF:
11.8
Papers:
3.8K
Citations:
2.4W

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No organization information available