Artificial intelligence in systems biology

Document Type

Book Chapter

Publication Title

Handbook of Statistics

Abstract

Systems biology is an endeavor to explore various interconnected biological processes as a system toward discovery in medical applications, drug discovery, bioengineering, and universal complex problems. However, the high complexity of biological systems makes it strenuous to understand systems biology comprising high-throughput, large-scale, and multi-view big data of numerous formats. In this context, artificial intelligence (AI) stretches its hands with different technologies, such as marker-passing algorithms, statistical inference, qualitative physics, text mining, machine learning, and deep learning. This chapter addresses many challenges in systems biology, particularly high-throughput imbalance multi-omics data, complex hierarchical biological networks, and drug discovery. Besides, it discusses how AI can transform the future of systems biology by solving these issues.

First Page

153

Last Page

201

DOI

10.1016/bs.host.2023.06.004

Publication Date

1-1-2023

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