Methods for multi-omic data integration in cancer research.

IF 2.8 3区 生物学 Q2 GENETICS & HEREDITY
Frontiers in Genetics Pub Date : 2024-09-19 eCollection Date: 2024-01-01 DOI:10.3389/fgene.2024.1425456
Enrique Hernández-Lemus, Soledad Ochoa
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引用次数: 0

Abstract

Multi-omics data integration is a term that refers to the process of combining and analyzing data from different omic experimental sources, such as genomics, transcriptomics, methylation assays, and microRNA sequencing, among others. Such data integration approaches have the potential to provide a more comprehensive functional understanding of biological systems and has numerous applications in areas such as disease diagnosis, prognosis and therapy. However, quantitative integration of multi-omic data is a complex task that requires the use of highly specialized methods and approaches. Here, we discuss a number of data integration methods that have been developed with multi-omics data in view, including statistical methods, machine learning approaches, and network-based approaches. We also discuss the challenges and limitations of such methods and provide examples of their applications in the literature. Overall, this review aims to provide an overview of the current state of the field and highlight potential directions for future research.

癌症研究中的多组数据整合方法。
多组学数据整合是一个术语,指的是将来自基因组学、转录组学、甲基化检测和微RNA测序等不同组学实验来源的数据进行组合和分析的过程。这种数据整合方法有可能提供对生物系统更全面的功能性理解,并在疾病诊断、预后和治疗等领域有大量应用。然而,多组学数据的定量整合是一项复杂的任务,需要使用高度专业化的方法和手段。在此,我们将讨论一些针对多组学数据开发的数据整合方法,包括统计方法、机器学习方法和基于网络的方法。我们还讨论了这些方法所面临的挑战和局限性,并提供了这些方法在文献中的应用实例。总之,本综述旨在概述该领域的现状,并强调未来研究的潜在方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Genetics
Frontiers in Genetics Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍: Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public. The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.
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