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We analyze the correlations between normalized versions of the variables using a series of linear regressions.
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In order to make the support scores more comparable between drugs, we introduce normalized versions of the scores, normalized support and normalized weighted support which denote the respective support value divided the maximal possible support or weighted support, respectively.
Let us for moreover denote the normalized versions of the functions by.
We extracted raw features as well as normalized versions of the features.
The normalized versions of the distance curves of Figure 7(a) are shown in Figure 7(b).
We computed normalized versions of cell-diversity, denoted Dcell'(M), by dividing by log |L|, and of gene diversity, denoted Dgene'(M), by dividing by log |n|, to provide an intuitive measure of the diversity ranging between 0 and 1.
We compared each pair of trees using normalized versions of standard measures of topological error (normalized Robinson-Foulds distance (nRF)) and branch-length error (normalized branch-score distance (nBS)) [ 19] (see Additional file 8: Supplementary Methods).
We computed sequence similarities between proteins using a normalized version of Smith Waterman scores (Smith and Waterman, 1981).
For example, lineage captures the connection between raw data and a normalized version of it.
We computed the sequence similarities between the proteins using a normalized version of Smith Waterman scores (Smith and Waterman, 1981).
Thus, to compute the distance between two pages, we use a normalized version of the Levenshtein distance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com