Article

Efficient prediction of a spatial transcriptomics profile better characterizes breast cancer tissue sections without costly experimentation

2021-04-22

Abstract excerpt

Spatial transcriptomics is an emerging technology requiring costly reagents and considerable skills, limiting the identification of transcriptional markers related to histology. Here, we show that predicted spatial gene-expressions in unmeasured regions and tissues can enhance biologists’ histological interpretations. We developed the Deep learning model for Spa tial gene C lusters and E xpression, DeepSpaCE a...

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Literature Corpus work: 6c205f3c-7ed7-58af-8544-d313db23b064
DOI: 10.1101/2021.04.22.440763

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