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METHODS FOR VISUALIZING DATA IN PROTEOMICS

Different cell functions are encoded by spatially determined networks of interacting proteins. The quantification of these networks is feasible by new technologies developed by MelTec. The resulting datasets are highly complex and require specific statistical solutions. A tissue sample can contain up to 5000 cells and each cell up to 22 variables are measured as gray levels which are reduced to a zero-one code vector. Experiments are repeated for different conditions related to an agent’s activity upon a sample. Initially, these experiments are qualitatively compared using a very simple method, a binary-code-diagram. It is demonstrated that this diagram produces similar patterns for similar experiments. Thus, this method is well suited for visually comparing multiple experiments at a single glance. We present the method and discuss its advantages and disadvantages.