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Metabolite levels in kernels of selected starch-deficient mutants of maize (Zea mays L.) were investigated to gain insight into partitioning of carbohydrate metabolism during kernel development. Several free sugars, hexose phosphates, triose phosphates, fructose-2,6-bisphosphate, and pyrophosphate were measured in normal, shrunken, shrunken-2, amylose(More)
Confirmatory bioassay experiments take place in late stages of the drug discovery process when a small number of compounds have to be compared with respect to their properties. As the cost of the observations may differ considerably, the design problem is well specified by the cost of compound used rather than by the number of observations. We show that(More)
Version 9 of SAS/STAT software brings you a variety of new tools for your statistical computing needs. The Power and Sample Size Application (PSS) provides sample size and power computations for a variety of analyses through a web interface. Experimental software in Version 9 moves SAS/STAT in new directions , including robust regression, which is supported(More)
The significance of the glycolytic and gluconeogenic conversion of fructose-6-phosphate and fructose-1,6-bisphosphate on sugar metabolism was investigated in maize (Zea mays L.) kernels. Maximum extractable activities of the pyrophosphate (PPi) dependent phosphofructokinase, fructose-1,6-bisphosphatase, and the ATP-dependent phosphofructokinase were(More)
PROC TTEST is an old reliable among SAS/STAT procedures, testing hypotheses about means of one and two normal samples. While this is a narrow class of analyses, it's an important class, with key applications in all areas of science, including clinical trials. Recent updates to the TTEST procedure make it an even more powerful tool for the statistician. The(More)
Version 9 of SAS/STAT software delivers a wealth of tools and functionality for statistical modeling and data analysis. Areas covered by new or enhanced software include multiple imputation, conditional logistic regression, robust regression, general linear models for proportional hazards, regression diagnostics, survey data analysis, power and sample size(More)
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