![]() Appropriate defaults are given to reduce the time needed by the user to specify input parameters. It is possible to modify data processing methods and the final appearance of the PCA and heatmap plots by using drop-down menus, text boxes, sliders etc. Users can upload data from a simple delimited text file that can be created in a spreadsheet program. We present a web tool called ClustVis that aims to have an intuitive user interface. The same applies to creating heatmaps: it is possible to add conditional formatting for Excel cells to show colored heatmaps, but for more advanced features such as clustering and experimental annotations, more sophisticated analysis tools have to be used. Although widely used, the method is lacking an easy-to-use web interface that scientists with little programming skills could use to make plots of their own data. The Principal Component Analysis (PCA) is a widely used method of reducing the dimensionality of high-dimensional data, often followed by visualizing two of the components on the scatterplot.
0 Comments
Leave a Reply. |