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Exact(6)
We do not entirely agree with this statement as one can estimate all other metrics from the 2-by-2 contingency (confusion) matrix using only the power metric value and the user-defined threshold χ.
For each window, w ∈ { 1... W }, we compute the correlation matrix using only SNPs in w, Σ (w ).
To evaluate this possibility, we reanalyzed a reduced version of the earlier matrix, using only DNA characters and eliminating all taxa not sampled in this study.
To estimate the Hessian matrix using only public data, we leverage the following advantages: (1) The Hessian matrix from the public data set is positive definite.
To speed-up the computations, we calculated the kinship matrix using only 1% of the high-frequency SNPs (estimating this matrix does not require a large number of SNPs) and computed hapFLK (with the modification mentioned above) using 30% of the high-frequency SNPs.
To distinguish contig orientation, BAIT generates an initial contig dissimilarity matrix using only chromosomes that have inherited homozygous WW and CC templates (but excluding WC), in such as way that misoriented linkage groups derived from the same chromosome are highly dissimilar.
Similar(54)
The world energy matrix uses only 13.2% from renewable sources, while the Brazilian scenario differs from this context using 42.4% of these sources, according to 2012 statistical data.
The new method is a generalization of the adaptive cross approximation (ACA) method initially designed for the low-rank approximation of matrices using only few of its original entries.
To highlight these, we re-classified the predicted sensitivities from both models as either "activating" (S = 1), "inhibiting" (S = -1), or "neutral" (S = 0) and produced qualitative sensitivity matrices using only these values (see Additional File 3, Figure S2, additional details in Methods).
Logistic regression parameter β n e w. 1: Compute the Hessian matrix H using only the public data set ( I is the identity matrix) H = ∑ i = 1 n 0 log exp - β o l d T x i 0 1 + exp - β o l d T x i 0 2 - n 0 λ ∑ j = 0 k n j I The coefficient n 0 λ ∑ j = 0 k n j is an adjustment, as the number of samples to obtain H here is different from number of samples to get gradients below.
However, neglecting the off-diagonal elements of the correlation matrix and using only the diagonal elements 1 - α σ v r 2 of the correlation matrix, the steady-state MSE of the proposed GAL narrowband ANC system can be approximated as E e 2 n = ∑ i = 1 I σ d i 2 1 + M ξ i 2 1 - α 2 + ∑ i = 1 I M ξ i σ d i 2 2 1 - α 1 + M ξ i 2 1 - α 2 + σ v p 2. (15).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com