Article

Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors

2020-09-18

Abstract excerpt

<title>Abstract</title> <p>Metastasis leads to most cancer deaths, but its spatiotemporal behavior remains unpredictable at early stage. Here, we developed MetaNet, a computational framework that integrates clinical and sequencing data from 32,176 primary and metastatic cancer cases, to assess metastatic risks of primary tumors. MetaNet achieved high accuracy in distinguishing the metastasis from the primary in b...

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Literature Corpus work: 51189322-4d7d-5e79-89d2-b4540458ed7e
DOI: 10.21203/rs.3.rs-73390/v1

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