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Mutability models also provide critical background models for the statistical analysis of selection, as described below.
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In this method, at time, the background model for the next frame is calculated from the current background model and the current frame.
Note that the background model for the rat was not available in the TOUCAN2 program.
Thus, a background model for the Fourier score F was generated by fitting autoregressive processes of the order 1 (AR (1)) to the observed time courses and subsequent calculation of F for the generated random expression vectors.
D2*was originally proposed with a Bernoulli background model for the computation of μ(w).
In order to identify the HCGs within each network, we used a background model for the evaluation of the negative and positive coordination in each network, assuming no coordination, and considered genes to be HCGs if their observed coordination was higher by more then six standard deviations from the coordination that was estimated by our background model (for detail see Methods section).
A pseudo count of 0 was used for each contextual PWM and the background model for the LLR score was a 0-th order Markov chain learned from the host intergenic sequences.
Finally, Swarm in situ observations such as all L1b products, neutral density and winds, and topside TEC can be used for assimilation into ionospheric background models for imaging the present state of the ionosphere.
Fortunately, this is not a major issue, especially as long as we use the same test set and the same PSFM and Markovian background models for all the new and previously published methods that we compare.
We develop a background model for assessing the significance of tumor-specific alterations, the third core feature of RAE.
To convert a PWM P, into a numerical feature, we first compute r, the maximum log likelihood ratio score between P and the background model for each possible position in the query sequence.
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