Umetrics Suite Blog

OPLS vs PCA: Explaining Differences or Grouping Data? (Analyzing Omics Data)

August 25, 2020

OPLS and PCA are two commonly used techniques to analyze genomics, metabolomics and other Omics data.

Do you know when to use OPLS-DA and when to use PCA data analysis techniques to makes sense of your Omics data? Find out how to uncover the differences in your data with these classification and discriminant analysis methods.

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The Trending Role of Artificial Intelligence in the Pharmaceutical Industry

August 18, 2020

Over the last several years, the use of artificial intelligence (AI) in the pharma and biomedical industry has gone from science fiction to science fact. Increasingly, pharma and biotech companies are adopting more efficient, automated processes that incorporate data-driven decisions and use predictive analytics tools. The next evolution of this approach to advanced data analytics incorporates artificial intelligence and machine learning.

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What Is Principal Component Analysis (PCA) and How Is It Used?

August 18, 2020

Principal component analysis, or PCA, is a statistical procedure that allows you to summarize the information content in large data tables by means of a smaller set of “summary indices” that can be more easily visualized and analyzed. The underlying data can be measurements describing properties of production samples, chemical compounds or reactions, process time points of a continuous process, batches from a batch process, biological individuals or trials of a DOE-protocol, for example.

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What is DOE? Design of Experiments Basics for Beginners

August 4, 2020

[This blog was a favorite last year, so we thought you'd like to see it again. Send us your comments or questions!]

Whether you work in engineering, R&D, or a science lab, understanding the basics of experimental design can help you achieve more statistically optimal results from your experiments or improve your output quality.

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