Computational Tactics for Precision Cancer Network Biology

Network biology has garnered tremendous attention in understanding complex systems of cancer, because the mechanisms underlying cancer involve the perturbations in the specific function of molecular networks, rather than a disorder of a single gene. In this article, we review the various computation...

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Bibliographic Details
Published in:International journal of molecular sciences 2022-11, Vol.23 (22), p.14398
Main Authors: Park, Heewon, Miyano, Satoru
Format: Article
Language:English
Subjects:
Artificial intelligence
Bandwidths
Biology
Biomarkers
Boolean
Cancer
Complex systems
Computational Biology
Computer applications
Customization
Gene expression
Gene Regulatory Networks
Genomics
Humans
Machine learning
Medical research
Molecular modelling
Neoplasms - genetics
Network analysis
Precision Medicine
Regularization methods
Review
Tactics
Tumor cell lines
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Summary:Network biology has garnered tremendous attention in understanding complex systems of cancer, because the mechanisms underlying cancer involve the perturbations in the specific function of molecular networks, rather than a disorder of a single gene. In this article, we review the various computational tactics for gene regulatory network analysis, focused especially on personalized anti-cancer therapy. This paper covers three major topics: (1) cell line's (or patient's) cancer characteristics specific gene regulatory network estimation, which enables us to reveal molecular interplays under varying conditions of cancer characteristics of cell lines (or patient); (2) computational approaches to interpret the multitudinous and massive networks; (3) network-based application to uncover molecular mechanisms of cancer and related marker identification. We expect that this review will help readers understand personalized computational network biology that plays a significant role in precision cancer medicine.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms232214398