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UBC Theses and Dissertations

Identification of gene modules using a generative model for relational data Lacerda, Gustavo

Abstract

This thesis presents generative models for two types of relational data (edge rankings and networks) from block structures, based on Brumm et al (2008). We design and implement a set of inference algorithms, and evaluate them on real as well as simulated data. We conclude with a discussion of how well the real data fits the model, and with various extensions of the basic model.

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Attribution-NonCommercial-ShareAlike 3.0 Unported

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