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Review
. 2020 Oct 14:10:588221.
doi: 10.3389/fonc.2020.588221. eCollection 2020.

Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer

Nupur Biswas  1 , Saikat Chakrabarti  1
Affiliations
Review

Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer

Nupur Biswas et al. Front Oncol. .

Abstract

Cancer is the manifestation of abnormalities of different physiological processes involving genes, DNAs, RNAs, proteins, and other biomolecules whose profiles are reflected in different omics data types. As these bio-entities are very much correlated, integrative analysis of different types of omics data, multi-omics data, is required to understanding the disease from the tumorigenesis to the disease progression. Artificial intelligence (AI), specifically machine learning algorithms, has the ability to make decisive interpretation of "big"-sized complex data and, hence, appears as the most effective tool for the analysis and understanding of multi-omics data for patient-specific observations. In this review, we have discussed about the recent outcomes of employing AI in multi-omics data analysis of different types of cancer. Based on the research trends and significance in patient treatment, we have primarily focused on the AI-based analysis for determining cancer subtypes, disease prognosis, and therapeutic targets. We have also discussed about AI analysis of some non-canonical types of omics data as they have the capability of playing the determiner role in cancer patient care. Additionally, we have briefly discussed about the data repositories because of their pivotal role in multi-omics data storing, processing, and analysis.

Keywords: artificial intelligence (AI); cancer; machine learning; multi-omics analyses; precision medicine.

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Figures

FIGURE 1
FIGURE 1
Artificial intelligence (AI)-based analysis of multi-omics data. Different types of omics data are integrated and analyzed by AI algorithms to extract patient-specific information.
See this image and copyright information in PMC

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