Edoardo Saccenti won the Kowalski Prize 2017 for Best Application Paper in Statistics/Chemometrics

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Edoardo Saccenti won the Kowalski Prize 2017 for Best Application Paper in Statistics/Chemometrics

Covariances Simultaneous Component Analysis: a new method within a framework for modeling covariances

 Published in the Journal of Chemometrics (http://onlinelibrary.wiley.com/doi/10.1002/cem.2707/epdf).

 

The motivation for the Prize is that the paper represents “an important work in the field of

-omics with a significant likelihood that COVSCA will become widely used” and that “has the potential to

find wide application in metabolomics and systems biology

 

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