QUANTIS: Data quality assessment tool by clustering analysis
Volume: 51, Issue: 11, Pages: 872 - 885
Published: Sep 4, 2019
Abstract
Automatically generated kinetic networks are ideally validated against a large set of accurate, reproducible, and easy‐to‐model experimental data. However, although this might seem simple, it proves to be quite challenging. QUANTIS, a publicly available Python package, is specifically developed to evaluate both the precision and accuracy of experimental data and to ensure a uniform, quick processing, and storage strategy that enables automated...
Paper Details
Title
QUANTIS: Data quality assessment tool by clustering analysis
Published Date
Sep 4, 2019
Volume
51
Issue
11
Pages
872 - 885
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