Multiple linear regression and artificial neural network retention prediction models for ginsenosides on a polyamine-bonded stationary phase in hydrophilic interaction chromatography

Title
Multiple linear regression and artificial neural network retention prediction models for ginsenosides on a polyamine-bonded stationary phase in hydrophilic interaction chromatography
Authors
Keywords
-
Journal
JOURNAL OF SEPARATION SCIENCE
Volume 31, Issue 9, Pages 1550-1563
Publisher
Wiley
Online
2008-04-25
DOI
10.1002/jssc.200800077

Ask authors/readers for more resources

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started