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 some results of transplantation experiments, there are many more possible experiments that we do not know the resultsof . We develop a penalty function-based method that uses the results of known experiments to infer the results of unknown experiments . 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  .
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 .
D
,
R
some results of
the results of some
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that we do not know the resultsof
with unknown results
R
results of known experiments
known experimental results
R
results of unknown experiments
unknown experimental results
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,
D
,
A
. Besides, we solve a problem: how to design experiments so that such a method can be applied most efficiently