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Article

Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models

2019-05-24

Abstract excerpt

<h4>Background</h4> In spite of the abundance of genomic data, predictive models that describe phenotypes as a function of gene expression or mutations are difficult to obtain because they are affected by the curse of dimensionality, given the disbalance between samples and candidate genes. And this is especially dramatic in scenarios in which the availability of samples is difficult, such as the case of rare dis...

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Literature Corpus work
ad63f277-8d2e-56b8-99e1-db29b0fa3b1a
DOI
10.1101/647735
Open publication

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Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic modelsDOI 10.1101/647735
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