To account for the variability in overall scale, we normalize the inferred log-weights in each replicate by calculating the average log-weight in the replicate, that is, (22) μ i = 1 8 ∑ s = 1 8 log [ w s (i ) ], and a total average scale of the replicates (23) μ = 1 6 ∑ i = 1 6 μ i, and then transforming the estimated shifts as follows: (24) w s (i ) → w ˜ s (i ) = w s (i ) e μ − μ i.
A logistic model linearly combines the values of independent variables (in this case, the concentrations, x ki, of regulators 1 to k ) to produce a prediction; the predictor, η i, is then transformed by the logistic function to give the probability, p i, of eve being ON.
The Lagrangian function L p has to be minimized with respect to w and b and maximized with respect to α i ≥ 0. By using Karush-Kuhn-Tucker (KKT) conditions, the design variables w and b in Eq. 8 can be expressed in terms of α i, which then transforms the problem into a dual problem that requires only maximization with respect to the Lagrangian multipliers α i (9) (10).
Also, an edit script transforming s0, i to t0, j can be composed by first deleting last letter s i -1 from s0, i at cost del (s i -1), and then transforming s0, i -1 to t0, j at cost ed (s0, i -1, t0, j ).
An edit script transforming s0, i -1 to t0, j can be composed by first inserting the letter s i -1 at the end of s0, i -1 to obtain the string s0, i at cost ins (s i -1), and then transforming s0, i to t0, j by applying an optimal script at cost e d s0, i, t0, j ).
The pPIC9K-P was digested by restriction enzyme Pme I, and then transformed into P. pastoris GS115 by electroporation.
The basis functions of the original parameter domain Q are pushed forward to the smaller subdomain Q (i, k ) by a linear mapping G (i, k ) : Q → Q (i, k ) and then transformed to the physical domain by the original mapping G (i ) (see Fig. 5 for an illustration).
To construct the ROC curve, p (confidence = i | correct) and p (confidence = i | incorrect) were calculated for all i, and were then transformed into cumulative probabilities and plotted against each other.
The joint distribution of ϒ i and X1,…, X k given Q, f(ϒ i, X| Q) is then transformed into f X, Z i| Q) and.
I want to be a rocket star, see the planet from above and then transform it".
