Paper Info
Title
Evaluation of IoT-Based Computational Intelligence Tools for DNA Sequence Analysis in Bioinformatics.
Abstract
In contemporary age, Computational Intelligence (CI) performs an essential role in the interpretation of big biological data considering that it could provide all of the molecular biology and DNA sequencing computations. For this purpose, many researchers have attempted to implement different tools in this field and have competed aggressively. Hence, determining the best of them among the enormous number of available tools is not an easy task, selecting the one which accomplishes big data in the concise time and with no error can significantly improve the scientist's contribution in the bioinformatics field. This study uses different analysis and methods such as Fuzzy, Dempster-Shafer, Murphy and Entropy Shannon to provide the most significant and reliable evaluation of IoT-based computational intelligence tools for DNA sequence analysis. The outcomes of this study can be advantageous to the bioinformatics community, researchers and experts in big biological data.
Year
DOI
Venue
2019
10.1007/978-981-13-0224-4_31
arXiv: Other Computer Science
DocType
Volume
Citations 
Journal
abs/1904.09268
0
PageRank 
References 
Authors
0.34
4
5
Name
Order
Citations
PageRank
Zainab Alansari100.34
Nor Badrul Anuar263536.94
Amirrudin Kamsin34111.68
Safeeullah Soomro41611.01
Mohammad Riyaz Belgaum501.01