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ISSN 2410-955X - An International Biannual Journal
Applications of the artificial intelligence and machine learning in computational biology
Hasnat Noor 1, ¥, Ayesha Ikram 1*, ¥, Ali Hassaan Khan 2, Ali Haider 1, Muhammad Sufyan Razzaq 1
1 Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan
2 Institute of Horticulture and Sciences, University of Agriculture, Faisalabad, Pakistan
Abstract
Artificial Intelligence (AI) is a wide-ranging branch of computer science that deals with the construction of smart machines that typically require human intelligence. Machine learning is a method of data analysis that automates the building of analytics models. It is based on the theory that the system can learn from statistics, identify patterns and make decisions with minimal human intervention. Artificial intelligence and machine learning are interconnected fields. Bioinformatics approach has been used to address numerous biological problems. Machine learning and AI are revolutionizing computational biology and bioinformatics. There has been progressive advancements in computer sciences and bioinformatics. The use of AI and machine learning in bioinformatics are helping to make new ways for biological data management and to perform different analyses for logical conclusions. This article describes the use of some key tools of applied AI and machine learning in bioinformatics.
A R T I CL E I N F O
Received
December 24, 2019
Revised
February 13, 2020
Accepted
March 21, 2020
*Corresponding Author
Ayesha Ikram
E-mail
ayshik56@gmail.com
Keywords
Machine learning
Artificial Intelligence
Bioinformatics
Decision Tree
Neural Networks
Genetic Algorithm
Note
¥ Both authors contributed equally
Review article
2020 | Volume 6 | Issue 1