Latest version of Qlucore Omics Explorer aids data exploration and biomarker discovery

Enhanced features with inbuilt clustering and advanced classifiers with one mouse click.

Qlucore, a world leader in the development of bioinformatics software, has today unveiled Qlucore Omics Explorer 3.2, the latest version of its advanced data analysis software. Researchers will be able to undertake deeper data exploration and biomarker discovery using the additional functionalities in version 3.2 for clustering and classification. Clustering is used to find subgroups among data samples and to see whether the samples naturally distribute themselves into distinct clusters. The new clustering functionality will enhance both the data exploration and statistical verification modes of the program. It will further assist the user to find clusters and subgroups in data, and complements existing functionalities such as projection score, variance filter and PCA plots. The second significant addition is the classification functionality, or predictive modeling. The user will be able to build advanced classifiers at the click of a button, selecting from a range of different models, and will also be able to classify data based on generated models. The classification functionality can be used as an alternative way to finding the most relevant variables (features) to explain a condition, and be used for classification of samples in a diagnostic context.