Article

Two-stage biologically interpretable neural-network models for liver cancer prognosis prediction using histopathology and transcriptomic data

2020-01-28

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Purpose</h4> Pathological images are easily accessible data with the potential as prognostic biomarkers. Moreover, integration of heterogeneous data types from multi-modality, such as pathological image and gene expression data, is invaluable to help predicting cancer patient survival. However, the analytical challenges are significant. <h4>Experimental Design</h4> Here we take the hepatocell...

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Literature Corpus work: 7bfabe38-c8ea-580d-9c81-eef106bc6565
DOI: 10.1101/2020.01.25.20016832

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