Towards Automated Explanation of
Keywords: microarrays, gene-gene relationships, knowledge-intensive problem solving, it-
erative search, public databases and tools.
During the recent decades research in molecular biology experienced several paradigm shifts
that changed the researchers' approach to solving particular problems in the field. The
invention of microarray technology in the last decade of the previous millennium can certainly
be seen as one of those paradigm shifts . However, although there appear first reports
showing efforts to combine various resources of genomic data instead of investigating just
one source (e.g., [2, 4]), the understanding and interpretation of the results--the key issue
in any attempt to a discovery--is still entirely left to the human.
Microarray data represent a reasonable source of new hypotheses on gene function and
between-gene relationships. In order to fully understand and explain these hypotheses,
biological background information from many resources has to be explored and combined.
We propose a novel method intended to aid a researcher in understanding hypothetical