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The reason for choosing the Vandermonde structure for the frequency spreading matrix follows that of the space spreading matrix.
A diversity function δ is said to be monotonic if for any haplotype block (interval) I = [ i, j] of haplotype matrix A, it follows that δ(i′, j′) ≤ δ i, j) whenever [ i′, j′]⊂[ i, j]; that is, the diversity of any subinterval of I is no larger than the diversity of I.
Combined with the condition that [ − 1, ω ] T ∈ R ( A ), A being the matrix in Equation 15, follows that: ω = − tan ( ω τ 1 ) = − tan ( ω τ 2 ).
Asymptotic likelihood theory implies that β is normally distributed and allows estimation of its variance covariance matrix Σ so it follows that xT β is normally distributed with variance σ= xTΣ x.
Given that, under the null hypothesis of no association between genotype and trait (H0), Z is asymptotically distributed as a multivariate normal with a zero mean vector and covariance matrix ∑ G, it follows that: ∑ U = W ∑ G W T. Due to LD, ∑ G might be close to singular, which results in unstable estimation of the gene-based test statistic.
Since H=G † R G, where G,R are the square matrices with full rank, it follows that H is invertible.
Then it follows that { q n, m } is a strongly regular matrix.
The prior probability of the scoring matrix is calculated directly from the amino acid covariance matrix, which assumes that the scoring matrix follows the same Multivariate normal distribution.
As it is the cross-linked structure that imparts strength and integrity to intact basement membrane matrices, it follows that Matrigel matrices would have lower resistance to cell penetration and be unable to reflect the in vivo situation.
Degradation of matrix follows facilitating migration.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com