  We review studies on tissue transplantation experiments for various species:
one piece of the donor tissue is excised and transplanted into a slit in the
host tissue, then observe the behavior of this grafted tissue. Although we have
known the results of some transplantation experiments, there are many more
possible experiments with unknown results. We develop a penalty function-based
method that uses the known experimental results to infer the unknown
experimental results. Similar experiments without similar results get penalized
and correspond to smaller probability. This method can provide the most
probable results of a group of experiments or the probability of a specific
result for each experiment. This method is also generalized to other
situations. Besides, we solve a problem: how to design experiments so that such
a method can be applied most efficiently.
