Version 1
: Received: 10 January 2022 / Approved: 12 January 2022 / Online: 12 January 2022 (14:17:32 CET)
How to cite:
Ngobesing, L. A.; Atay, Y. Meaningful Infrastructures in Biological Networks: Related Studies, Algorithms and Evaluation Parameters. Preprints2022, 2022010170. https://doi.org/10.20944/preprints202201.0170.v1
Ngobesing, L. A.; Atay, Y. Meaningful Infrastructures in Biological Networks: Related Studies, Algorithms and Evaluation Parameters. Preprints 2022, 2022010170. https://doi.org/10.20944/preprints202201.0170.v1
Ngobesing, L. A.; Atay, Y. Meaningful Infrastructures in Biological Networks: Related Studies, Algorithms and Evaluation Parameters. Preprints2022, 2022010170. https://doi.org/10.20944/preprints202201.0170.v1
APA Style
Ngobesing, L. A., & Atay, Y. (2022). Meaningful Infrastructures in Biological Networks: Related Studies, Algorithms and Evaluation Parameters. Preprints. https://doi.org/10.20944/preprints202201.0170.v1
Chicago/Turabian Style
Ngobesing, L. A. and Yılmaz Atay. 2022 "Meaningful Infrastructures in Biological Networks: Related Studies, Algorithms and Evaluation Parameters" Preprints. https://doi.org/10.20944/preprints202201.0170.v1
Abstract
Abstract: In network science and big data, the concept of finding meaningful infrastructures in networks has emerged as a method of finding groups of entities with similar properties within very complex systems. The whole concept is generally based on finding subnetworks which have more properties (links) amongst nodes belonging to the same cluster than nodes in other groups (A concept presented by Girvan and Newman, 2002). Today meaningful infrastructure identification is applied in all types of networks from computer networks, to social networks to biological networks. In this article we will look at how meaningful infrastructure identification is applied in biological networks. This concept is important in biological networks as it helps scientist discover patterns in proteins or drugs which helps in solving many medical mysteries. This article will encompass the different algorithms that are used for meaningful infrastructure identification in biological networks. These include Genetic Algorithm, Differential Evolution, Water Cycle Algorithm (WCA), Walktrap Algorithm, Connect Intensity Iteration Algorithm (CIIA), Firefly algorithms and Overlapping Multiple Label Propagation Algorithm. These al-gorithms are compared with using performance measurement parameters such as the Mod-ularity, Normalized Mutual Information, Functional Enrichment, Recall and Precision, Re-dundancy, Purity and Surprise, which we will also discuss here.
Computer Science and Mathematics, Mathematical and Computational Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.