Bayesian Networks for Genomic Analysis

Bayesian Networks for Genomic Analysis (2004)

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by Paola Sebastiani , Maria M. Abad , Marco F. Ramoni

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@MISC{Sebastiani04bayesiannetworks,
    author = {Paola Sebastiani and Maria M. Abad and Marco F. Ramoni},
    title = {Bayesian Networks for Genomic Analysis},
    year = {2004}
}

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Abstract

Bayesian networks are emerging into the genomic arena as a general modeling tool able to unravel the cellular mechanism, to identify genotypes that confer susceptibility to disease, and to lead to diagnostic models. This chapter reviews the foundations of Bayesian networks and shows their application to the analysis of various types of genomic data, from genomic markers to gene expression data. The examples will highlight the potential of this methodology but also the current limitations and we will describe new research directions that hold the promise to make Bayesian networks a fundamental tool for genome data

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