Sentence examples for module determination approach from inspiring English sources

TotalHill method: a local maxima-based module determination approach, in which the module membership value of a link is determined by all the module membership values of its neighboring links (see Sections V.2.c. and V.2.d. in the Electronic Supplementary Material S1).

GradientHill method: a local maxima-based module determination approach, in which the module membership value of a link is determined by the module membership value(s) only of its neighboring link(s) having maximal centrality values (see Section V.2.b. in the Electronic Supplementary Material S1).

ProportionalHill method: a local maxima-based module determination approach, in which the module membership value of a link is determined by the module membership values only of its neighboring links having non lower centrality values (see main text and Section V.2.b. in the Electronic Supplementary Material S1).

ModuLand method family: the integrative name of our module determination approach based on the hills of the community landscape (see main text and Section II. in the Electronic Supplementary Material S1).

Additionally, former methods yielding non-overlapping modules (which can be interpreted as the application of the threshold-based hill determination method) can be upgraded to overlapping modularization methods using the local maxima-based module determination approach of the ModuLand method family (for details see Section IV.4. in the Electronic Supplementary Material S1).

A module can also be divided two sub-module by the signs of d ij and the sub-module is determined using a similar approach to the module determination.

In the ModuLand approach we divided the very challenging problem of module determination into two likewise hard subproblems: the influence function determination (1); and the determination of hills of the resulted community landscape (2).

The centrality threshold-based hill determination approach is appropriate whenever the goal of the analysis is to find modules without overlapping regions.

This module determination method family is based on the novel concept of understanding the overlapping modules as hills of an influence function-based, centrality-type community landscape.

In the present work, we have used the functional module approach to identify those multifunctional proteins that exhibit extreme multifunctionality.

Several alternative module detection approaches have therefore been developed in order to alleviate these three limitations.