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So far, the dominant techniques for developing emulators have been priors in the form of Gaussian stochastic processes (GASP) that were conditioned with a design data set of inputs and corresponding model outputs.
In addition to the aforementioned approaches which directly depend on comparisons of individual transcript levels, the platform also enables the use of functional priors in the form of Gene Set Enrichment Analysis (GSEA), which is commonly used to test for statistically significant overrepresentation of particular groups of genes in the context of the Gene Ontology Annotation Database [ 24].
The highly heterogeneous nature of biological specimens present in small animals results in a wide distribution of optical properties and high inherent autofluorescence that demands tomographic approaches with spectral priors, in the form of emission spectra of the fluorophores (literature method), for improved reconstructions [ 27, 28].
Additionally, it allows incorporation of prior knowledge in the form of prior parameter probability distributions.
Use of prior knowledge, in the form of a prior distribution on an uncertainty class of feature-label distributions to which the true, but unknown, feature-distribution belongs, can facilitate accurate error estimation (in the mean-square sense) in circumstances where accurate completely model-free error estimation is impossible.
This estimate is further improved upon by introducing prior knowledge in the form of the conjugate prior of the multinomial distribution.
The march of the discounters Aldi and Lidl continues, whilst Tesco's prior advantage in the form of its overseas operations is not what it once was.
Keith Bowman, equity enalyst at Hargreaves Lansdown Stockbrokers, says Lewis could challenge the discount rivals: The march of the discounters Aldi and Lidl continues, whilst Tesco's prior advantage in the form of its overseas operations is not what it once was.
In this paper, a novel ensemble model is proposed able to integrate prior knowledge in the form of gene sets into the whole microarray classification process.
Patents provide a wealth of information about design concepts, their physical realization, and their relationship to prior designs in the form of citations.
Furthermore, our work differs significantly in the exploitation of prior knowledge in the form of a dictionary, which is utilized during the reconstruction stage.
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