Your English writing platform
Discover LudwigSuggestions(1)
Exact(17)
Given two networks of different sizes, we propose a method to quantify the topological distance between them based on the contrasting spectrum of normalized graph Laplacian.
Our objective here is to minimize the distance with respect to a target spectral density, which is elaborated using the normalized graph Laplacian representation of graphs.
The eigenvalues of the normalized graph Laplacian not only capture the global properties of a network, but also local structures that are produced by graph evolutions (like motif duplication or joining).
braziliensis using normalized graph.
Fig. 1 Rotor Gene 6000 HRM normalized graph of the region amplified for exon 16.
The graph cut-off frequency is set to 0.45 (the range of normalized graph frequency is from 0 to 2).
Similar(43)
Optimal reverse prediction (ORP) has recently been proposed as a semi-supervised framework to unify supervised and unsupervised training methods such as supervised least square, principal component analysis (PCA), k-means clustering and normalized graph-cut.
The mean ± standard deviation of the mean (SDM) relative to the percentage (normalized graphs) of cell growth inhibition and parasite growth inhibition were used to estimate the IC50 using non-linear regression with the software GraphPad Prism, version 5.0.
The software automatically determines the cluster positions of the three codominant monohybrid genotypes for each SNP and displays them in normalized graphs.
vinifera) dropped from the first position in the non-normalized graph to eighth and Arabidopsis (ARATH) dropped from 11th to position 23rd, being these new positions more in agreement with the taxonomic relationships between the species (Fig. 8B; Supplementary Fig. S1).
We also discuss further extensions that highlight the benefits of our analysis: i) a spectral relax-ation involving thresholded eigenvectors, and ii) a normalized cut graph clustering algorithm that does not fix the number of clusters in the graph.
Write better and faster with AI suggestions while staying true to your unique style.
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