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Subtracting exPSSM from posPSSM yields the expectation deviation scoring matrix or EDSM.
The unbiased position specific expectation deviation scoring matrix was expanded into a hyper-dimensional vector representation, and the Euclidean distances between vectors was computed.
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Interestingly, while in several datasets we observed a very good agreement with this expectation, deviations from it were frequent.
We term this the expectation-deviation scoring matrix (EDSM).
Within these families genotypes segregated according to Mendelian expectations (strongest deviation in family 13, χ(df = 3) = 6, P = 0.112).
In this new formulation: (3) Now, can be modelled as the sum of a conditional expectation plus a deviation:, where this deviation (assuming the true state of the QTL is q l ) is as above.
Finally, regressive expectations incorporate deviations of the exchange rate with respect to a long-run equilibrium value.
The main purpose of this work is computational simulation of the expectations, standard deviations, skewness and kurtosis of the homogenized tensor for some composites with metallic components.
Suppose that a one-step approximation (bar{X}_{t,x}(t+h)) has order of accuracy (p_{1}) for the mathematical expectation of the deviation and order of accuracy (p_{2}) for the mean-square deviation.
The hidden Markov model needs a series of parameters to calculate the hidden Markov state, including the LRR's expectation (and standard deviation) for each state, the BAF's expectation (and standard deviation) for each state, the transition probability matrix for inferring relationship among SNP-series, and other parameters.
Parts of branch power flows' expectation and standard deviation are shown in Table 6.
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