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Experience and experiments with Matlab...

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regressContourPlot

You can fit a linear regression line on 2D histogram data, i.e. if you already don't have the original data set containing two measurements for each data point.

Syntax:[r,slope,intercept]=regressContourPlot(twoDHist,xScale,yScale)

Help is available by typing "help regressContourPlot" at the Matlab command prompt.

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createTrend

A trend line can be created from a data set containing two measurements for each data point. In order to create a trend line the X range is divided into the given number of bins and the mean of the Y variable in each bin is calculated.

Syntax: createTrend(XYData) or [trendline,binsX. freq]= createTrend(XYData,XMin,XMax,NumBins)

Help is available by typing "help createTrend" at the Matlab command prompt.

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createContour

You can generate a 2D histogram (contour plot) interactively from a set of data containing two measurements for each data point.

Syntax: createContour(XYData)

Help is available by typing "help createContour" at the Matlab command prompt.

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Fitting the Hill equation to data points: fithill

The program fits the Hill equation to measurement data. The Hill equation has the following forms depending on whether IC50 or EC50 is fitted on concentrations on a linear or logarithmic scale:

The program can be run in GUI mode or command-prompt mode.

- GUI mode: In order to run the program in GUI mode start it without input arguments, i.e. type "fithill" at the Matlab command prompt.
- command prompt mode:[fittedParameters,rsquared]=fithill(xdata,ydata,PropName,PropVal1,PropVal2,...) OR [fittedParameters,rsquared,fittedN]=fithill(xdata,ydata,PropName,PropVal1,ProbVal2,...)

Output argument 'fittedN' is required if propName 'logconctoplot' is given among the arguments.

xdata = LOG10 of the drug concentrations (LOG10!!!!!!!)

ydata = cell numbers or absorbances

fittedParameters = structure with the following fields:

fittedParameters.min

fittedParameters.max

fittedParameters.kd

fittedParameters.n

fittedParameters.minCI

fittedParameters.maxCI

fittedParameters.kdCI

fittedParameters.nCI

rsquared = goodness of fit

fittedN = calculated curve using the best fit parameters at the concentrations given in the argument list after 'logconctoplot'

The following parameters are followed by two numbers:

If 'ec50' and 'ic50' is not followed by a numeric parameter, it only specifies whether a decreasing or increasing curve is to be fitted.

The following parameters are followed by one number or variable:

confint- confidence bounds will be calculated at the % level specified by the number following 'confint'

logconctoplot - LOG10concentrations (!!!!) at which fittedN will be calculated using the fit parameters

The following parameters aren't followed by anything.

ver - version of the program

version - same as above

help - displays this help

Download: fithill.p