Suppose we select m individual models to generate hybrid forecasting.
Consequently, suppose we select a κ such that κ Pfa=10 n, for some n.
Suppose we aim to select p variables from S (S>> p) candidates as the nodes in Bayesian network based on a random sample of N observations.
Suppose we placed a carefully selected sample of men on a hot stove and another sample of men on dry ice.
We selected the supposed housekeeping gene peptidylpropyl isomerase A (Ppia), also known as cyclophilin, as the endogenous reference because our microarray analysis indicated that its expression is unlikely to be altered by VPA in either mouse embryos or P19 cells.
The clusters we selected are not supposed to represent all possible spiking "phenotypes" we observed, but we used them to test the compactness and noisiness of projections mapping the 2D spiking phenotype space onto 2D spaces of low-level physiological properties of tectal cells.
In like manner a multitude of little birds, robins and the like, which we are apt to think of as bad or unskilful flyers, turn out to be very good flyers indeed upon their migratory journeys, when all they have to do is to pursue an even course in high and relatively calm regions of the atmosphere, and also (as we may suppose) in carefully selected weather.
Suppose that selected blocks Λ i, i=1,2,…,t, satisfy Lambda subset cap_{i=1}^{t} Omega_{i} approx Omega (12).
In particular, suppose the selected marker set consists of markers m 1, m 2,..., m k, the training data is Ωtr, and the sample to be predicted is xnew.
As an assumption for this test, we suppose that authors select the variable definitions of the proxies to reach significant results.
We supposed that positively selected genes are that of having a higher d N/ d S ratio with the free-ratios model than that with the one-ratio model and having p-value < 0.05 from branch-site model.
