Partial least squares regression as a powerful tool for investigating large combinatorial polymer libraries

Partial Least Squares (PLS) regression is an established analytical tool in surface science, particularly for relating multivariate ToF-SIMS data to a univariate surface property. Herein we construct a PLS model using ToF-SIMS and surface energy data from a 496 copolymer micro-patterned library. Usi...

Full beskrivning

Sparad:
Bibliografiska uppgifter
I publikationen:Surf Interface Anal
Huvudupphovsmän: Taylor, Michael, Urquhart, Andrew J., Anderson, Daniel G., Langer, Robert, Davies, Martyn C., Alexander, Morgan R.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2009
Ämnen:
Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4235767/
https://ncbi.nlm.nih.gov/pubmed/25414534
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sia.2969
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk