HLA typing using a fuzzy approach

The human leukocyte antigens (HLA) system consists of three regions in the human genome. In transplantation, the match between donor´s and receiver´s HLA is critical for histocompatibility. HLA typing problem consists in the donor´s and receiver´s HLA systems matching. We describe the image analysis module of a decision supporting system supporting the application of the oligonucleotide microarray technology to the HLA typing. The decision supporting system is based on a fuzzy modeling approach that allows the biologist to describe and classify the probe activations using its language and concepts in a natural way, and, at the same time, supports a robust interactive image filtering with the usage of a fuzzy basis functions network.