Search: onr:"swepub:oai:DiVA.org:umu-10816" >
Megavariate analysi...
Megavariate analysis of environmental QSAR data. Part II--investigating very complex problem formulations using hierarchical, non-linear and batch-wise extensions of PCA and PLS.
-
Eriksson, Lennart (author)
-
- Andersson, Patrik L. (author)
- Umeå universitet,Kemiska institutionen
-
Johansson, Erik (author)
-
show more...
-
- Tysklind, Mats (author)
- Umeå universitet,Kemiska institutionen
-
show less...
-
(creator_code:org_t)
- 2006-06-27
- 2006
- English.
-
In: Molecular Diversity. - : Springer Science and Business Media LLC. - 1381-1991 .- 1573-501X. ; 10:2, s. 187-205
- Related links:
-
https://urn.kb.se/re...
-
show more...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- Three extensions of the basic PCA and PLS methodologies are described. These extensions are hierarchical, non-linear and batch-based in nature. The objectives of these methods are to assist in problem understanding and problem solving in very complex (QSAR) problem formulations. The method extensions are illustrated using two example QSAR data sets containing many X- and Y-variables.
Keyword
- Hazardous Substances/*toxicity
- Least-Squares Analysis
- Models; Chemical
- Models; Statistical
- Principal Component Analysis/*methods
- Quantitative Structure-Activity Relationship
- Toxicology/*methods
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database