In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Background: By virtue of their shared ancestry, homologous sequences are similar in their structure and function. Consequently, multiple sequence alignments are routinely used to ...
Daniel R. Caffrey, Paul H. Dana, Vidhya Mathur, Ma...
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
In this paper, we outline a framework for the development of natural language interfaces to agent systems with a focus on action representation. The architecture comprises a natur...
: We explore the expressiveness of the BPMN workflow modelling language by applying it to MuCoMS, a paper submission system. This well known application domain is a suitable exampl...