The tree view visualisation provides basis for phylogenetic analysis as well as relationship between various elements in a set or collection. It also presents one of the most elegant representations of microarray data analysis results. The classical Eisen Tree View software is the most widely used software for visualisation of microarray gene expression data. Certain anomalies in the software were found, which have been brought out and improved through newly developed software called Gene Expression Data Analysis Suite (GEDAS). Further, the algorithm has been modified to represent duplicate entries, if any, present in the dataset. A method of conversion of tree view output into cluster view form is another highlight. Through this paper, certain other features of such tree representations have been discussed.