nG

Bayesian Core: A Practical Approach to Computational Bayesian Statistics Image analysis Computer Vision and Classi fi cation A probabilistic version of the knn methodology (4) β grades the in fl uence of the prevalent neighborhood class; the probabilistic knn model is conditional on the covariate matrix X; the frequencies n1/n, ..., nG/n of the classes within the training set are representative of the marginal probabilities p1 = P (yi = C1), ..., pG =

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Past Clans - nG (5th), cM | z (12th), iM (17th) 2nd color: white

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K | nG wrote: Im trying this and ill tell you when that will be sucessful

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The first application assumed the loci affecting a disease trait are known and thus rgĝ demonstrates an upper bound on the accuracy; for example, consider nG = 1000 loci with effects greater than 0,, then the predicted accuracy is obtained with λ = 10, and will be 0.71.

PLoS ONE Alerts: New Articles Hans D. Daetwyler et al. 2008

Now consider if those 1000 loci are contained with a set of nG = 100,000 marker loci, with 99\% having zero effect so that now the accuracy is obtained with

PLoS ONE Alerts: New Articles Hans D. Daetwyler et al. 2008

The value of nG used in most scenarios was 1000 and n

PLoS ONE Alerts: New Articles Hans D. Daetwyler et al. 2008

We will assume that there are nG potential loci affecting a trait which are independent, biallelic and acting additively, where nG may be large.

PLoS ONE Alerts: New Articles Hans D. Daetwyler et al. 2008

One could apply our formulae by interpreting nG as the number of independent chromosome segments (i.e. haplotype blocks).

PLoS ONE Alerts: New Articles Hans D. Daetwyler et al. 2008

Literature estimates informing priors on nG and the distributions of the effects will become more widely available as GWA studies become more powerful

PLoS ONE Alerts: New Articles Hans D. Daetwyler et al. 2008

“G (n) †’ G (n + 1)”) and the expression “ˆ nG (n)” are not mathematical propositions because we have no algorithmic means of looking for an induction (PG 367).

Wittgenstein's Philosophy of Mathematics Rodych, Victor 2007