Bioinformatics Toolbox™

malowess - Smooth microarray data using Lowess method

Syntax

YSmooth = malowess(X, Y) malowess(..., 'PropertyName', PropertyValue,...) malowess(..., 'Order', OrderValue ...) malowess(..., 'Robust', RobustValue ...) malowess(..., 'Span', SpanValue ...)

Arguments

`X`, `Y`	Scatter data.
`OrderValue`	Property to select the order of the algorithm. Enter either `1` (linear fit) or `2` (quadratic fit). The default order is `1`.
`RobustValue`	Property to select a robust fit. Enter either `true` or `false`.
`SpanValue`	Property to specify the window size. The default value is `0.05` (5% of total points in `X`)

Description

YSmooth = malowess(X, Y) smooths scatter data (X, Y) using the Lowess smoothing method. The default window size is 5% of the length of X.

malowess(..., 'PropertyName', PropertyValue,...) defines optional properties using property name/value pairs.

malowess(..., 'Order', OrderValue ...) chooses the order of the algorithm. Note that 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.

Examples

maStruct = gprread('mouse_a1wt.gpr');
cy3data = magetfield(maStruct, 'F635 Median');
cy5data = magetfield(maStruct, 'F532 Median');
[x,y] = mairplot(cy3data, cy5data);
drawnow
ysmooth = malowess(x,y);
hold on;
plot(x, ysmooth, 'rx')
ynorm = y - ysmooth;

malowess - Smooth microarray data using Lowess method

Syntax

Arguments

Description

Examples

See Also