This paper describes a communication-minded visualization called progressive multiples that supports both the forensic analysis and presentation of multidimensional event data. We...
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
In this paper, we present a new technique for extracting regions of interest (ROI) applying a local watershed transformation. The proposed strategy for computing catchment basins ...
Short, linear motifs (SLiMs) play a critical role in many biological processes, particularly in protein–protein interactions. Overrepresentation of convergent occurrences of mot...
Norman E. Davey, Richard J. Edwards, Denis C. Shie...