Multi-Omics Model Applied to Cancer Genetics

被引:27
作者
Pettini, Francesco [1 ]
Visibelli, Anna [2 ]
Cicaloni, Vittoria [3 ]
Iovinelli, Daniele [2 ]
Spiga, Ottavia [2 ]
机构
[1] Univ Siena, Dept Med Biotechnol, Via M Bracci 2, I-53100 Siena, Italy
[2] Univ Siena, Dept Biotechnol Chem & Pharm, Via A Moro 2, I-53100 Siena, Italy
[3] Toscana Life Sci Fdn, Via Fiorentina 1, I-53100 Siena, Italy
关键词
data analysis; artificial intelligence; precision medicine; machine learning models; computational oncology; cancer disease; omics tools; SYSTEMS BIOLOGY; R PACKAGE; R/BIOCONDUCTOR PACKAGE; DATA INTEGRATION; DNA METHYLATION; READ ALIGNMENT; HISTONE; IDENTIFICATION; EXPRESSION; GENOME;
D O I
10.3390/ijms22115751
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In this review, we focus on bioinformatic oncology as an integrative discipline that incorporates knowledge from the mathematical, physical, and computational fields to further the biomedical understanding of cancer. Before providing a deeper insight into the bioinformatics approach and utilities involved in oncology, we must understand what is a system biology framework and the genetic connection, because of the high heterogenicity of the backgrounds of people approaching precision medicine. In fact, it is essential to providing general theoretical information on genomics, epigenomics, and transcriptomics to understand the phases of multi-omics approach. We consider how to create a multi-omics model. In the last section, we describe the new frontiers and future perspectives of this field.
引用
收藏
页数:21
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