MetATT: a web-based metabolomics tool for analyzing time-series and two-factor datasets.

Jianguo Xia Igor Sinelnikov David S. Wishart

Published in: Bioinform. (2011)

Keyphrases

non stationary
software tools
dynamic time warping
data mining tasks
identify potential
experimental results on real world
real time
feature selection
e learning
multimedia
factor analysis
synthetic datasets
uci machine learning repository
chronic hepatitis