منابع مشابه
Gene Expression: From Microarrays to Functional Genomics
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The concept of sparsity is more and more central to practical data analysis and inference with increasingly high-dimensional data. Gene expression genomics is a key example context. As part of a series of projects that has developed Bayesian methodology for large-scale regression, ANOVA and latent factor models, we have extended traditional Bayesian “variable selection” priors and modelling ide...
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Since its development almost 2 decades ago, gene expression microarray technology has generated excitement and raised expectations for dramatic discoveries of underlying disease mechanisms. The general concept of a gene expression microarray is relatively straightforward. Messenger RNA is extracted from a biospecimen. Examples of biospecimens include cells grown in culture, tissue from animal m...
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In studies of molecular profiling and biological pathway analysis using DNA microarray gene expression data we are utilising a broad class of sparse latent factor and regression models for large-scale multivariate analysis and regression prediction. We present examples of these applications with discussion of key aspects of the modelling and computational methodology. Our case studies are drawn...
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ژورنال
عنوان ژورنال: Biophysical Journal
سال: 2013
ISSN: 0006-3495
DOI: 10.1016/j.bpj.2012.11.2954