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A fraction θ of sites randomly select a new rate after crossing the divergence point, so rate r j 1 applies along all the branches in subtree τ1, including the stub of the branch dissected by the DP and r j 2 applies throughout subtree τ2 along with the other part of the dissected branch.
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In order to obtain meaningful estimates of dN and dS on the scale of individual genes by cross-species comparison, the divergence between the analyzed species should not be too low.
To adjust households' consumption and income components, we minimise the cross entropy divergence measured by the Kullbak-Leibler function, as in Robilliard and Robinson (2003), subject to the constraint of equality between the SAM cells and the total weighted household observations values.
We also see that the accuracy of MaxSSmap is lower than Smith-Waterman as we cross into higher divergence of 0.3 with gaps.
Survival bias could contribute to the divergence in the apparent cross-sectional association of hormone levels with T2DM but not with IFG.
The matrix is decomposed into and matrices in order to minimize the cross entropy (KL divergence) between the matrix and empirical distribution.
The divergence is immense.
Why the divergence?
What explains the divergence?
Calculate the divergence.
The Divergence Theorem.
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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