Formal concept analysis applied to transcriptomic data

Identifying functions or pathways shared by genes responsi- ble for cancer is still a challenging task. This paper describes the prepa- ration work for applying Formal Concept Analysis (FCA) to biological data. After gene transcription experiments, we integrate various annota- tions of selected genes in a database along with relevant domain knowl- edge. The database subsequently allows to build formal contexts in a exible way. We present here a preliminary experiment using these data on a core context with the addition of domain knowledge by context ap- position. The resulting concept lattices are pruned and we discuss some interesting concepts. Our study shows how data integration and FCA can help the domain expert in the exploration of complex data.