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Recombination hotspot inference summary.
Figure 2 showed the unrooted Bayesian inference summary tree generated by MrBayes.
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A Heuristic Program for Solving a Scientific Inference Problem: Summary of Motivation and Implementation.
Moreover, under the homoscedasticity variance assumption across subjects and groups that is often used in SPM analysis, the aforementioned individual and group analyses using sparse dictionary learning can be accurately modeled by a mixed-effect model, which also facilitates a standard SPM-type group-level inference using summary statistics.
Distance approaches that base their inference on summary statistics have traditionally been seen as a fast but less precise alternative [3].
To investigate what levels of selection might be required to generate the patterns we observe, we use a model of selection on locus pairs following Karlin (1975) and a regression approach to approximate Bayesian inference using summary statistics as implemented in the program ABCreg (Beaumont et al., 2002; Jensen et al., 2008; Thornton 2009).
Now the ubiquity of auxiliary information enables many more inferences from summary data.
To make statistical inferences, a summary expression measure for each microRNA, possibly normalized between arrays, is needed.
Like list data, network data can originate from heterogeneous sources including yeast two-hybrid experiments, computational or statistical inferences, literature summaries or database queries.
Nonparametric inference for general summary measures for differences on the cumulative incidence functions was proposed [ 43].
Due to basing its inference solely on summary statistics, the proposed method can be used even when subject-level genotype data is not available.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com