Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Formal analysis remains outside the mainstream of system design practice. Interactive methods and tools are regarded by some to be on the margin of useful research in this area. Al...
In logic, the spatio-temporal location of a proposition is characterized precisely within a Cartesian system of space and time coordinates. This is suitable for characterizing the ...
Objective: Currently, visualization support for patient data analysis is mostly limited to the representation of directly measured data. Contextual information on performed treatm...