Systems analysis of yeast gylcolysis using perturbations of external pH: physiological parameters, non-parametric analysis, and general properties of the system dynamics

Biosystems ◽  
1994 ◽  
Vol 32 (3) ◽  
pp. 211-221 ◽  
Author(s):  
Karl-Albert Rinast ◽  
Bernd Antkowiak ◽  
Klaus Brinkmann
2015 ◽  
Author(s):  
Alessandra Canepa ◽  
Maria O. Gonzalez ◽  
Frank S. Skinner

2017 ◽  
Vol 14 (2) ◽  
Author(s):  
Qihua Tan ◽  
Mads Thomassen ◽  
Mark Burton ◽  
Kristian Fredløv Mose ◽  
Klaus Ejner Andersen ◽  
...  

AbstractModeling complex time-course patterns is a challenging issue in microarray study due to complex gene expression patterns in response to the time-course experiment. We introduce the generalized correlation coefficient and propose a combinatory approach for detecting, testing and clustering the heterogeneous time-course gene expression patterns. Application of the method identified nonlinear time-course patterns in high agreement with parametric analysis. We conclude that the non-parametric nature in the generalized correlation analysis could be an useful and efficient tool for analyzing microarray time-course data and for exploring the complex relationships in the omics data for studying their association with disease and health.


Biometrics ◽  
1995 ◽  
Vol 51 (3) ◽  
pp. 920 ◽  
Author(s):  
Stuart G. Young ◽  
Adrian W. Bowman

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