Shuhei Kuwata

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Genome-wide association studies for a variety of diseases are identifying increasing numbers of candidate genes. Now we are confronted with the fact that some genes are common candidates across diseases. Thus there is a strong need to develop a hypothesis formulation methodology to comprehend multifaceted associations between genes and diseases. We have(More)
We propose a new one-shot collaborative filtering method. In contrast to the conventional methods, which predict unobserved ratings individually and independently, our method predicts all unobserved ratings simultaneously and with mutual dependence. With the proposed method, first for observed ratings, we compute empirical marginal distributions of the(More)
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