This paper is published in Volume-3, Issue-2, 2017
Area
Datamining
Author
Thillainayaki, M. Hemalatha
Org/Univ
Bharathiar University, India
Pub. Date
26 April, 2017
Paper ID
V3I2-1521
Publisher
Keywords
Graph, Networks, Protein Protein interaction, Random Walk, Weighted Networks

Citationsacebook

IEEE
Thillainayaki, M. Hemalatha. Weighted Random Walk on PPI Network, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Thillainayaki, M. Hemalatha (2017). Weighted Random Walk on PPI Network. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.

MLA
Thillainayaki, M. Hemalatha. "Weighted Random Walk on PPI Network." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.

Abstract

Proteins in the same protein complexes should highly interact with each other but rarely interact with the other proteins in protein-protein interaction (PPI) networks. All interaction network weighting schemes have been proposed so far in the literature in order to eliminate the noise inherent in interactome data. Visualization representation of data visually and is an important task in scientific research. PPI are discovered using mass spectrometry, or in silico predictions tools, resulting in large collections of interactions stored in specialized databases. Using Random walk on weighted graphs for identifying the interaction easily between Protein subsets and measuring the evaluation performance of proteins, Graphs for PINs visualizing the high number of nodes and connections, the heterogeneity of nodes (proteins) and edges (interactions), the possibility to annotate proteins and interactions with biological information that enriches the PINs with semantic information, and maintained as a separate databases for easy retrieval information of proteins from various Protein databases.
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