| Bioinformatics Toolbox | |
Smooth microarray data using the Lowess method
YSmooth = malowess(X, Y, 'PropertyName', PropertyValue...) malowess(..., 'Order', OrderValue) malowess(..., 'Robust', RobustValue) malowess(..., 'Span', SpanValue)
| X, Y | Scatter data. |
| Order | Property to select the order of the algorithm. Enter either 1 (linear fit) or 2 (quadratic fit). The default order is 1. |
| Rubust | Property to select a robust fit. Enter either true or false. |
| Span | Property to specify the window size. The default value is 0.05 (5% of total points in X) |
YSmooth = malowess(X, Y, 'PropertyName', PropertyValue...) smooths scatter data (X, Y) using the Lowess smoothing method. The default window size is 5% of the length of X.
malowess(..., 'Order', OrderValue) chooses the order of the algorithm. Note that the MATLAB Curve Fitting Toolbox refers to Lowess smoothing of order 2 as Loess smoothing.
malowess(..., 'Robust', RobustValue) uses a robust fit when RobustValue is set to true. This option can take a long time to calculate.
malowess(..., 'Span', SpanValue) modifies the window size for the smoothing function. If SpanValue is less than 1, the window size is taken to be a fraction of the number of points in the data. If SpanValue is greater than 1, the window is of size SpanValue.
maStruct = gprread('mouse_a1wt.gpr');
cy3data = maStruct.Data(:,4);
cy5data = maStruct.Data(:,13);
[x,y] = mairplot(cy3data, cy5data);
drawnow
ysmooth = malowess(x,y);
hold on;
plot(x,ysmooth,'rx');
ynorm = y - ysmooth;
Bioinformatics Toolbox functions mairplot, maloglog, ,
| | maloglog | manorm | |
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