Article

Data-Driven Modelling of Gene Expression States in Breast Cancer and their Prediction from Routine Whole Slide Images

2023-04-16

Abstract excerpt

<h4>Summary</h4> Identification of gene expression state of a cancer patient from routine pathology imaging and characterization of its phenotypic effects have significant clinical and therapeutic implications. However, prediction of expression of individual genes from whole slide images (WSIs) is challenging due to co-dependent or correlated expression of multiple genes. Here, we use a purely data-driven approac...

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Literature Corpus work: 44c85181-c29b-5a8e-9711-65ee81771bf1
DOI: 10.1101/2023.04.14.536756

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