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Article

Discovering and interpreting transcriptomic drivers of imaging traits using neural networks.

Bioinformatics (Oxford, England) - 1 Jun 2020

Smedley Nova F, El-Saden Suzie, Hsu William

Abstract excerpt

MOTIVATION: Cancer heterogeneity is observed at multiple biological levels. To improve our understanding of these differences and their relevance in medicine, approaches to link organ- and tissue-level information from diagnostic images and cellular-level information from genomics are needed. However, these 'radiogenomic' studies often use linear or shallow models, depend on feature selection, or consider one...

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PMID: 32101278
DOI: 10.1093/bioinformatics/btaa126
PMCID: PMC7267841

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