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Impact Of Noise On Molecular Network Inference, Radhakrishnan Nagarajan, Marco Scutari
Impact Of Noise On Molecular Network Inference, Radhakrishnan Nagarajan, Marco Scutari
Biostatistics Faculty Publications
Molecular entities work in concert as a system and mediate phenotypic outcomes and disease states. There has been recent interest in modelling the associations between molecular entities from their observed expression profiles as networks using a battery of algorithms. These networks have proven to be useful abstractions of the underlying pathways and signalling mechanisms. Noise is ubiquitous in molecular data and can have a pronounced effect on the inferred network. Noise can be an outcome of several factors including: inherent stochastic mechanisms at the molecular level, variation in the abundance of molecules, heterogeneity, sensitivity of the biological assay or measurement …