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Aug 30, 2007 · The proposed method gives validation statistics to the ASCA models. ASCA itself allows for summarizing the designed experimental data. Combining ...
Aug 30, 2007 · ASCA is such a multivariate analysis method; it has successfully estimated effects in megavariate metabolomics data from biological experiments.
A permutation approach is used to validate megavariate effects observed with ASCA. By permuting the class labels of the underlying experimental design, a ...
This experiment deals with the urine analysis of bromobenzene treated rats, the experimental design includes two types of controls and 3 dosage levels of the ...
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Statistical validation of megavariate effects in ASCA ; All authors: Vis, D.J.; Westerhuis, J.A.; Smilde, A.K.; Greef, J. van der ; Date: 2007 ; Journal: BMC ...
Year: 2007; Title: Statistical validation of megavariate effects in ASCA. Journal: BMC Bioinformatics; Volume: 8; Pages (from-to): 322 ...
Statistical validation of megavariate effects in ASCA ; All authors: Vis, D.J.; Westerhuis, J.A.; Smilde, A.K.; Greef, J. van der ; Date: 2007 ; Journal: BMC ...
Statistical validation of megavariate effects in ASCA. Overview of attention ... Analysis of variance – simultaneous component analysis (ASCA or ANOVA ...
This experiment deals with the urine analysis of bromobenzene treated rats, the experimental design includes two types of controls and 3 dosage levels of the ...