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.