


Tools 
Basic tools for statistical data analysis: standard deviation, Fstatistics, and more. 
Optimal experiemnt design

Optimal Design for Inhibitor Screening

Statistical DOptimal design (BoxLucas method) for the
optimal choice of enzyme inhibitors in a screening project.
KingAltman method

Automatic derivation of steadystate rate equations

Derive steadystate enzymatic rate equations from a symbolic input, under the
steadystate approximation (in the absence of tight bindign).
Basic statistical tools
Tools for basic statistical analysis of experimental data.

Average

Compute average, standard deviation, standard error of the mean,
and confidence intervals for a series of datapoints.

FCritical value

Compute a critical value of the Fstatistics for the given
degrees of freedom and probability level.

Nested models

Compute the probability that a decrease in the sum of squares, caused
by the introduction of an additional fitting parameter, is statistically significant.

Two treatment groups

Compute the probability that two samples of equal or unequal size
(each characterized by a mean and standard deviation) were drawn from the same population.


