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Page 1
Selection of optimal process analyzers for plant-wide monitoring.
van den Berg FW, Hoefsloot HC, Smilde AK. van den Berg FW, et al. Anal Chem. 2002 Jul 1;74(13):3105-11. doi: 10.1021/ac020148w. Anal Chem. 2002. PMID: 12141670
A fast but imprecise instrument is incomparable to a slow but precise instrument. Theory is developed to overcome this problem by using an abstract definition of a process analyzer. ...The unifying nature of the measurability factor allows for a ration …
A fast but imprecise instrument is incomparable to a slow but precise instrument. Theory is developed to overcome this problem …
How to choose the right process analyzer.
Smilde AK, van den Berg FW, Hoefsloot HC. Smilde AK, et al. Anal Chem. 2002 Jul 1;74(13):368A-373A. doi: 10.1021/ac022066d. Anal Chem. 2002. PMID: 12141696 No abstract available.
Analysis of longitudinal metabolomics data.
Jansen JJ, Hoefsloot HC, Boelens HF, van der Greef J, Smilde AK. Jansen JJ, et al. Bioinformatics. 2004 Oct 12;20(15):2438-46. doi: 10.1093/bioinformatics/bth268. Epub 2004 Apr 15. Bioinformatics. 2004. PMID: 15087313
Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA.
Nueda MJ, Conesa A, Westerhuis JA, Hoefsloot HC, Smilde AK, Talón M, Ferrer A. Nueda MJ, et al. Among authors: smilde ak. Bioinformatics. 2007 Jul 15;23(14):1792-800. doi: 10.1093/bioinformatics/btm251. Epub 2007 May 22. Bioinformatics. 2007. PMID: 17519250
In these datasets, signals of interest coexist with varying sources of unwanted noise in a framework of (co)relation among the measured variables and with the different levels of the studied factors. ...We show how the combination of ANOVA-modeling and a dimension r …
In these datasets, signals of interest coexist with varying sources of unwanted noise in a framework of (co)relation among the measur …
153 results