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This problem is not unique to ABC, but equally applies to other sophisticated approaches of inference, such as coalescent-based genealogy samplers (Kuhner 2009).
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Various approaches of network inference vary in performance, and combining different approaches has shown to produce superior predictions [ 152, 160].
We developed an analysis pipeline that allowed us to detect dual infection in large databases by leveraging modern and reliable approaches of phylogenetic inference.
These limitations involve the data source, i.e. detection of segmental duplications and reliability of DNA sequence alignments, the approach for inference of mutational events, and the sample effect.
A brief description of two current closed approaches for inference about the TDI estimate is subsequently given.
Réd is a conceptually new approach for inference of gene networks from quantitative genetic interaction data.
This algorithm is to our knowledge also the only modern approach to inference of epistasis networks.
Every computational approach to inference of high-dimensional data includes certain assumptions and approximations necessary for making practical analysis possible.
Our approach to inference of regulatory influence networks using a multivariate regression approach have been reported previously for other systems [ 27, 28].
The site-based score was based on the Bayes Empirical Bayes (BEB) approach for inference of amino acids under positive selection [ 64] as implemented in the PAML package [ 65].
Graze et al. 2012 [ 48] integrated information from a DNA control into the prior for the model used to estimate allelic imbalance in RNA in a Bayesian approach to inference of allelic imbalance.
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