The ENDS of assumptions: an online tool for the epistemic non-parametric drug–response scoring | Zendy

Ali Amiryousefi | Zendy; Bernardo Williams | Zendy; Mohieddin Jafari | Zendy; Jing Tang | Zendy

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The ENDS of assumptions: an online tool for the epistemic non-parametric drug–response scoring

Author(s) -

Ali Amiryousefi,

Bernardo Williams,

Mohieddin Jafari,

Jing Tang

Publication year - 2022

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btac217

Subject(s) - parametric statistics , computer science , sensitivity (control systems) , bayesian probability , drug , representation (politics) , parametric model , artificial intelligence , statistics , mathematics , medicine , pharmacology , political science , engineering , electronic engineering , politics , law

The drug sensitivity analysis is often elucidated from drug dose-response curves. These curves capture the degree of cell viability (or inhibition) over a range of induced drugs, often with parametric assumptions that are rarely validated.

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