@inproceedings{88a89f6646954ac1bdc9fe6ab3e22ac1,
title = "Applications of fruit fly optimization algorithm for analyzing protein-protein interaction through Markov clustering on HIV virus",
abstract = "Protein plays a vital role in the structure and function of all living cell and viruses. The protein will interact with each other and with other molecules which regulate metabolism, cellular process and system of the organism, so that the protein-protein interactions networks have a considerable size. To learn the network interaction is required clustering algorithm. One of the most commonly used clustering algorithms is the Markov clustering algorithm (MCL). But the clustering results depend on its inflate parameters inputted by the user. In this study, we combined Markov clustering algorithms with Fruit Fly Optimization Algorithm (FOA), called FOA-MCL, to obtain parameter values automatically. From the experimental result, we get nine clusters are formed by PPI network data of HIV.",
keywords = "FOA-MCL, HIV, MCL, Protein-Protein Interaction Network",
author = "A. Bustamam and I. Mujtahidah and D. Lestari",
note = "Funding Information: This research is supported by PITTA UI 2017 research grant from DRPM Universitas Indonesia with contract number is 615/UN2.R3.1/HKP.05.00/2017. Publisher Copyright: {\textcopyright} 2018 Author(s).; 3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017 ; Conference date: 26-07-2017 Through 27-07-2017",
year = "2018",
month = oct,
day = "22",
doi = "10.1063/1.5064228",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Ratna Yuniati and Terry Mart and Anggraningrum, {Ivandini T.} and Djoko Triyono and Sugeng, {Kiki A.}",
booktitle = "Proceedings of the 3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017",
}