The Application of Advanced Design of Experiments for the Efficient Development of Chemical Processes
Journal Title: Chemical Informatics - Year 2017, Vol 3, Issue 2
Abstract
The combination of Principal Component Analysis (PCA) with Design of Experiments (DoE) is a powerful and very efficient tool for optimising chemical processes. This article explains how to apply PCA and DoE, and demonstrates the benefits with three case studies.
Authors and Affiliations
Paul M Murray, Laura C Forfar
Chemistry, Informatics and Systems Biology
Chemistry is (also) information: as a matter of example, our DNA is a chemical matter, where everything about each of ourself - in power - is written, dynamically expressing itself epigenetically by interacting with the...
The Application of Advanced Design of Experiments for the Efficient Development of Chemical Processes
The combination of Principal Component Analysis (PCA) with Design of Experiments (DoE) is a powerful and very efficient tool for optimising chemical processes. This article explains how to apply PCA and DoE, and demonstr...
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High-Throughput Screening Assay Datasets from the PubChem Database
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