TY - CHAP
T1 - 1.17 - Multiset Data Analysis
T2 - ANOVA Simultaneous Component Analysis and Related Methods
AU - Hoefsloot, H. C. J.
AU - Vis, D. J.
AU - Westerhuis, J. A.
AU - Smilde, A. K.
AU - Jansen, J. J.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Data sets resulting from metabolomics, proteomics, or metabolic profiling experiments are usually complex. This type of data contains underlying factors, such as time, doses, or combinations thereof. Classical biostatistics methods do not take into account the structure of such complex data sets. However, incorporating this structure into the data analysis is important for understanding the biological information in these data sets. We describe ANOVA simultaneous component analysis (ASCA), a method capable of dealing with complex multivariate data sets containing an underlying experimental design. It is a generalization of analysis of variance (ANOVA) for univariate data to the multivariate case. The method allows for easy interpretation of the variation induced by the different factors of the design. The method is illustrated with a data set from a metabolomics experiment with time and dose factors.
AB - Data sets resulting from metabolomics, proteomics, or metabolic profiling experiments are usually complex. This type of data contains underlying factors, such as time, doses, or combinations thereof. Classical biostatistics methods do not take into account the structure of such complex data sets. However, incorporating this structure into the data analysis is important for understanding the biological information in these data sets. We describe ANOVA simultaneous component analysis (ASCA), a method capable of dealing with complex multivariate data sets containing an underlying experimental design. It is a generalization of analysis of variance (ANOVA) for univariate data to the multivariate case. The method allows for easy interpretation of the variation induced by the different factors of the design. The method is illustrated with a data set from a metabolomics experiment with time and dose factors.
UR - https://www.scopus.com/pages/publications/85151722631
U2 - 10.1016/B978-0-444-64165-6.02011-5
DO - 10.1016/B978-0-444-64165-6.02011-5
M3 - Chapter
VL - 1
T3 - Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Second Edition: Four Volume Set
SP - 465
EP - 478
BT - Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Second Edition: Four Volume Set
PB - Elsevier
ER -