of Proteomics has seen an explosion in post-translational and post-experimental
data sets. This provides an analysis problem for experts working
in this field. My current research work centers on the use of Artificial
Intelligence techniques to perform data mining upon, amongst others,
Proteomic data sets, in particular in the area of 2-D Electrophoresis
Gel post-experimentation data and microarray expression data.
Such important knowledge will help to speed up this time consuming and complex analysis process. It is
hoped that the detection of patterns and trends within such data may eventually help in the early
detection of diseases; of particular importance when early treatment of a disease results in good
recovery results (e.g. Cancers), and assist drug development by providing novel drug targets.