Sentence examples for g of random from inspiring English sources

Somehow, the sparsity factor g of random projections impacts the accuracy of signal reconstructions.

Hexagonal birnessite was synthesized through a modified procedure described by Zhu [34]. 1 g of random stacked birnessite was added to 100 mL of 0.1 M NaNO3.

We can approximately model a genome-scale string G of random nucleotides as G samples taken with uniform probability from the space of all k-mers (of size 4 k /2 for odd k-mers treating reverse-complements as same; slightly more for even k).

The T g of less random PLACL 75 : 25 and more random PLACL 75 : 25 was below 37°C (32°C and 31°C, resp ., which means that in conditions of the experiment they were in elastic state.

To generate simulated populations with different F st values, we selected two disjoint sets of 500 individuals each, and we simulated g generations of random mating within each population separately (with the population size amplified to 2000 individuals).

It seems interesting to note that (69) can be analytically evaluated as y n−1 is observed and, thus, (69) represents a nonlinear mapping g of one random vector x n : y n =g(x n ) with begin{array}rcl@ p(mathbf{y}_{n} | q_{n}, mathbf{y}_{n-1}) = frac{p(mathbf{x}_{n}|q_{n})}{det(J_{mathbf{y}_{n}}(g^{-1}(mathbf{y}_{n}))}, end{array} (71).

For computational convenience, RR-BLUP can be transformed to a mathematically equivalent model (4) y = 1 μ + Sg + e with g being a vector of random genotype effects with var(g) = G σ g 2 and whole-genome relationship matrix G= ZZ T / p. The solution vector of SNP effects can then be obtained as u ^ RR = Z T G − 1 g ^ [ 37].

The model fitted was y = W b + Zg + e, where terms were the same as above, and g is a vector of random effects, assumed distributed N 0, G σ g 2, where G is a genomic relationship matrix, constructed using the rules of [ 33].

These were designed by calculating the fraction f(L, g) of detection probes with length = L and GC% = g, and simulating f(L, g) times the number of random probes desired random sequences of length L and GC% g for each L, g observed in the detection probes.

"(operatorname {randn}(operatorname {size}(g)))" returns an array of random entries of the same size as g.

' randn ( size ( g ) ) ' returns an array of random entries that is the same size as g.