Statistical validation of megavariate effects in ASCA-Reference-Cited by-同舟云学术

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Statistical validation of megavariate effects in ASCA

Published:2007-08-30 Issue:1 Volume:8 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Vis Daniel J,Westerhuis Johan A,Smilde Age K,van der Greef Jan

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-8-322.pdf

Reference18 articles.

1. Greef van der J, Smilde AK: Symbiosis of chemometrics and metabolomics: past, present and future. Journal of Chemometrics. 2005, 19: 376-386. 10.1002/cem.941.

2. Stahle L, Wold S: Multivariate Analysis of Variance (MANOVA). Chemometrics and Intelligent Laboratory Systems. 1990, 9: 127-141. 10.1016/0169-7439(90)80094-M.

3. Harrington PdB, Vieira NE, Espinoza J, Nien JK, Romero R, Yergey AL: Analysis of variance-principal component analysis: A soft tool for proteomic discovery. Analytica Chimica Acta. 2005, 544: 118-127. 10.1016/j.aca.2005.02.042.

4. Brink van den PJ, Braak ter CJF: Principal response curves: analysis of timedependent multivariate responses of a biological community to stress. Environmental Toxicology and Chemistry. 1999, 18: 138-148. 10.1897/1551-5028(1999)018<0138:PRCAOT>2.3.CO;2.

5. Smilde AK, Jansen JJ, Hoefsloot HC, Lamers RJAN, Greef Jvd, Timmerman ME: ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data. Bioinformatics. 2005, 21 (13): 3043-3048. 10.1093/bioinformatics/bti476.

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