Your English writing platform
Discover LudwigSimilar(60)
In this work, we combine several graph properties to provide three main propositions; one for identifying accepted arguments under the admissible, preferred semantics and the other to easily identify stable extension.
Chemical graph analysis by using algebraic and metrical graph properties [55], [56], [57], [58].
Graph properties of RIGs have been already utilized in this direction [44].
AA calculated graph properties of noncoding RNAs.
#IPknot – Real graph properties value used for all classifiers.
As graph properties can represent nucleotide level (local) and structure level (global) parameters, the scale and the range of graph properties metrics vary extensively.
These are the same graph properties, which were used by GraPPLE method [ 30] and details of all graph properties given in the Additional file 1: Table S10.
Graph properties of the regulatory networks have been reported in a number of papers.
Graph properties were calculated using the Louvain method [ 53] implemented in the igraph package [ 54].
Afterwards, a network was constructed using the sampled genes, and its graph properties were calculated.
*IPknot – Normalized (-1.0 to 1.0) graph properties value used for all classifier.
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