An in-silico approach to predict and exploit synthetic lethality in cancer metabolism.

Nat Commun · 2017 · PMC5587678 · PMID 28878380

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highly significantp -value = 3.78×10 −16actually significant

A logistic regression was used to check whether more Achilles-based essentiality cases are predicted to be essential by our algorithm than Achilles-based non-essentiality ones, and the results are highly significant ( p -value = 3.78×10 −16 , odds ratio (OR) = 3.62) (see “Methods” section).

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