| Bioinformatics Toolbox | |
Create a Principal Component plot of expression profile data
mapcaplot(Data) mapcaplot(Data,Label)
| Data | Microarray data |
| Label | Data point labels. |
mapcaplot(Data) creates 2D scatter plots of principal components of the array DATA. The principal components used for the x and y data are selected from popup menus, below each scatter plot.
Once the principal components have been plotted, a region can be selected in either axes with the mouse. This will highlight the points in the selected region, and the corresponding points in the other axes. This will also display a list of the row numbers of the selected points in the list box. Selecting an entry in the list box will display a label with the row number in each axes, at the corresponding point. Clicking on a point in the scatter plot will display a label with its row number until the mouse is released.
mapcaplot(Data,Label) uses the elements of the cell array of strings Label, instead of the row numbers, to label the data points.
load filteredyeastdata mapcaplot(yeastvalues,genes)
Bioinformatics Toolbox function clustergram
Statistical Toolbox function princomp
| | manorm | msalign | |
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