Читать книгу Biomedical Data Mining for Information Retrieval - Группа авторов - Страница 28

V. Samuel Raj, Anjali Priyadarshini*, Manoj Kumar Yadav, Ramendra Pati Pandey, Archana Gupta and Arpana Vibhuti

SRM University, Delhi-NCR, Rajiv Gandhi Education City, Sonepat, India

Abstract

Artificial intelligence tries to replace human intelligence with machine intelligence to solve diverse biological problems. Recent developments in Artificial Intelligence (AI) are set to play a very essential role in the bioinformatics domain. Machine learning and deep learning, the emerging fields with respect to biological science have created a lot of excitement as research communities want to harness their robustness in the field of biomedical and health-informatics. In this book chapter, we will look at the recently introduced state of the art in the field of Bioinformatics using complex Artificial Intelligence algorithms. With various intelligent methods available, the most common problem is selection of the best method to be applied for any specific data set. Researchers need tools, which present the data in a comprehensible fashion, annotated with context, estimates of accuracy and explanation. Thus the various smart tools available and their advantages and disadvantages have been the major focus of this chapter.

Keywords: AI, bioinformatics, protein prediction, drug discovery, gene sequence, deep learning in bioinformatics, gene expression