Article

Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome

2019-10-17

Abstract excerpt

<h4> A BSTRACT </h4> <h4>Purpose</h4> Personalized network inference on diverse clinical and in vitro model systems across cancer types can be used to delineate specific regulatory mechanisms, uncover drug targets and pathways, and develop individualized predictive models in cancer. <h4>Datasets and methods</h4> We developed TransPRECISE, a multi-scale Bayesian network modeling framework, to analyze the pan...

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Literature Corpus work: 4cf37040-ff98-5418-9b42-ff1d4809178e
DOI: 10.1101/806596

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