Bayesian multivariate Poisson model for RNA-seq classification


High dimensional data and small samples make genomic/proteomic classifier design and error estimation virtually impossible without the use of prior information [1]. Dalton and Dougherty utilize prior biological knowledge via a Bayesian approach that considers a prior distribution on an uncertainty class of feature-label distributions [2], [3]. While their… (More)
DOI: 10.1109/GENSIPS.2013.6735946


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