Friday, November 6, 2020

Iris Publishers- Open access Journal of Biostatistics & Biometric Applications | Decomposition Algorithms of Blocking the Selected Edges in the Digraph

     


Authored by Tsitsiashvili Gurami*


Introduction

By analogy with [1], we consider a protein network represented by a directed graph (digraph) G with the set U of nodes, which are proteins and whose directed edges are paired bonds between nodes represented in the Cytoscape program. Dedicate the subset U/ ⊆U of nodes and decrease in a comparison with [1] a number of edges, which block all paths from outside of the set U/ outside of the setU/ .

Take all nodes from the subset U/ and all edges between them. These nodes and edges create directed sub-graphG/G . Replace all (directed) edges of the sub-graph G/ by undirected ones and obtain undirected graph G// . Define in the sub-graph G// all its connectivity components / / / / Return directions to all edges of the subgraph G//k G k and define in such a way the sub-graph Gk of the digraph G, k =1,...,n.

Factorize each sub-graph Gk by a relation of cyclic equivalence (two nodes are cyclically equivalent if there is a cycle containing both of them) and construct acyclic digraph with nodes - clusters of cyclic equivalence. Construct the partial order ≥ between the clusters (a relation A ≥ B is true if there is a way from cluster A to cluster B ) in Gk .

Denote by vk *a set of edges incoming to GK and by VK**a set of edges out-coming from GK and designate bypK, qKnumbers of edges in these sets. Define the following sets WK*,WK**of clusters irispublishers-openaccess-biostatistics-biometric-applications in digraphGK Each cluster irispublishers-openaccess-biostatistics-biometric-applicationshas final nodes of some edges from the set V K*Similarly, each cluster irispublishers-openaccess-biostatistics-biometric-applicationshas initial nodes of some edges from the set VK **The WK*,WK** setsmay intersect.

Construct the set irispublishers-openaccess-biostatistics-biometric-applicationsconsisting of clusters GK,i,such that irispublishers-openaccess-biostatistics-biometric-applicationsbut there are some cluster irispublishers-openaccess-biostatistics-biometric-applicationsand a way from irispublishers-openaccess-biostatistics-biometric-applicationsin digraph GK.By analogy construct the set irispublishers-openaccess-biostatistics-biometric-applicationsof clusters irispublishers-openaccess-biostatistics-biometric-applicationssuch that irispublishers-openaccess-biostatistics-biometric-applications but there are some cluster irispublishers-openaccess-biostatistics-biometric-applicationsand a way from irispublishers-openaccess-biostatistics-biometric-applicationsin digraph GK

Designate byirispublishers-openaccess-biostatistics-biometric-applicationsall edges incoming some clusters containing in the set irispublishers-openaccess-biostatistics-biometric-applicationsfrom the outside of the graph irispublishers-openaccess-biostatistics-biometric-applicationsall edges out-coming from some clusters in the set WK**outside the graph GKDenote irispublishers-openaccess-biostatistics-biometric-applicationsa number of edges in the set irispublishers-openaccess-biostatistics-biometric-applicationsa number of edges in the set irispublishers-openaccess-biostatistics-biometric-applications

Assume that irispublishers-openaccess-biostatistics-biometric-applications and block all edges from irispublishers-openaccess-biostatistics-biometric-applicationsIn such a way, we block all paths from the outside of GKoutsideGK. Then a number of edges blocking the sub-graph GKequals’irispublishers-openaccess-biostatistics-biometric-applicationsLast inequalities show, how this algorithm decreases a number of blocked edges in a comparison with [1]. Next step of the decomposition procedure in this algorithm may be an allocation of disconnected subsets in pairs of sets irispublishers-openaccess-biostatistics-biometric-applications


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