What is new in version 5.3 of ArrayMiner

	Version 5

5.3

On Windows, the software underwent a full port to 32 bits, resulting in a significant speedup of the clustering algorithm on 32 bits operating systems, such as Windows XP On Mac OSX, some low-level GUI problems when running Tiger on a G5 machine were fixed The clustering algorithm now offers a "fast stop": whatever the size of your data, the algorithm stops immediately upon request, instead of waiting for the end of the current iteration. When restarted, the algorithm resumes as if no interruption uccured On some quite peculiar data, the clustering algorithm could end up with a completely flat average profile for a cluster, which caused problems under Pearson or Correlation. This was fixed A problem in the mechanism of reordering of columns in GeneSpring data was fixed On Windows, a warning is now issued on failure to save a too large JPEG image On Windows, pushing F11 now minimizes the whole application On Windows, right-clicking the status bar in the bottom of the Toolbar Button Window brings up a popup menu relative to the data file

5.2

You can now add notes to your project Saving the clustering solution as html lets you now link the resulting website to an interactive 3D view of your data. New options let you choose to add profile pictures to the html pages. More here A new interface has been added to let you directly paste your license instead of loading it from file

5.1

It is now possible to save the 3D views as java applets to easily add them in your website A new option has been added to the save clustering result dialog allowing you to save the whole classification as html files A button has been added to the clustering info window allowing you to copy into the clipboard information about the clustering parameters, which you can then easily paste into your publications Better support for foreign languages data format in the Data Importer and the "get data from clipboard" option

5.0

Project Explorer window added This window lets you filter, merge, exclude experiments easily and offers a more intuitive way of handling your data Gaussian Clustering algorithm improved The precision of the complex computations involved in the algorithm has been increased, allowing data with very high numbers of columns to be clustered safely

	Version 4

4.1

Experiment tree window added Fish eye view for experiment trees Windows are no longer limited in size Data import window added Raw data window is improved and can now display each gene before and after normalization Profiles inspector window Improved interface for introduction of classmarking filter parameters Option to organize clusters into a clustering tree Improvement of the graphical interface performance on PCs

4.0

Improved graphics publishing notably with features as the heat map publisher Colors and heat map gradients are now customizable via a preferences window New save possibilities Class Compare Window improved. It is now possible to display in the interface any classification present in the Class Compare. Cluster names are now editable. It is now possible to enter coloring schemes and classifications in the classification compare window more intuitively from clipboard PCA profiles can be viewed and published in the clustering module More intuitive way to specify the number of clusters to seek in the clustering module Improved cluster export to clipboard