𝔖 Bobbio Scriptorium
✦   LIBER   ✦

ChemInform Abstract: Multivariate Analysis of NMR Data

✍ Scribed by Federico Marini; Remo Bucci; Andrea D. Magri; Antonio L. Magri

Publisher
John Wiley and Sons
Year
2011
Weight
18 KB
Volume
42
Category
Article
ISSN
0931-7597

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Analysis of time course 1H NMR metabolom
Analysis of time course 1H NMR metabolomics data by multivariate curve resolution
✍ Tobias K. Karakach; Richard Knight; Eva M. Lenz; Mark R. Viant; John A. Walter πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 669 KB

## Abstract Modeling NMR‐based metabolomics data often involves linear methods such as principal component analysis (PCA) and partial least squares (PLS). These methods have the objective of describing the main variance in the data and maximum covariance between the predictor variables and some res

An interactive multivariate analysis of
An interactive multivariate analysis of FCM data
✍ Dr. Yukio Kosugi; Ryuichi Sato; Shigeru Genka; Nobuyuki Shitara; Kintomo Takakur πŸ“‚ Article πŸ“… 1988 πŸ› John Wiley and Sons 🌐 English βš– 350 KB

The procedure and results of the interactive multivariate analysis of FCM data are described. Using principal-components analysis, cluster analysis, and interactive maneuvers, this procedure facilitates an effective data compression from a four-dimensional space into two-dimensional space, then allo

Multivariate Granger causality analysis
Multivariate Granger causality analysis of fMRI data
✍ Gopikrishna Deshpande; Stephan LaConte; George Andrew James; Scott Peltier; Xiao πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 536 KB

## Abstract This article describes the combination of multivariate Granger causality analysis, temporal down‐sampling of fMRI time series, and graph theoretic concepts for investigating causal brain networks and their dynamics. As a demonstration, this approach was applied to analyze epoch‐to‐epoch