A Rich Probabilistic Model to Predict Yeast Gene Function
نویسندگان
چکیده
Prediction of gene function is an important problem in the post-genome era. Traditionally, functions of unknown genes are inferred from two types of methods: one using the “guilt-byassociation” principle (e.g. [1]), and the other using features of the gene of interest (e.g. [2]). Both types of methods have shown certain success in the task. Here we aim to combine the two principles using one rich probabilistic model.
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تاریخ انتشار 2005