用于多组学数据学习的先进计算工具

IF 12.1 1区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Sheikh Mansoor , Saira Hamid , Thai Thanh Tuan , Jong-Eun Park , Yong Suk Chung
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引用次数: 0

摘要

在蓬勃发展的生物信息学领域,由于组学数据的异构性和高维性,专为组学数据分析量身定制的计算工具激增。在生物医学和植物科学研究中,多组学数据已成为大数据时代预测分析的关键,需要复杂的计算方法。本综述探讨了在处理、规范化、整合和分析 omics 数据方面发挥关键作用的各种计算方法。本综述详细讨论了基于相似性的方法、基于网络的方法、基于相关性的方法、贝叶斯方法、基于融合的方法和多元技术等著名方法,每种方法都具有独特的功能,可应对多组学数据的复杂性。此外,本综述还强调了计算工具在促进我们对数据的理解方面的重要意义及其对研究的变革性影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advance computational tools for multiomics data learning

The burgeoning field of bioinformatics has seen a surge in computational tools tailored for omics data analysis driven by the heterogeneous and high-dimensional nature of omics data. In biomedical and plant science research multi-omics data has become pivotal for predictive analytics in the era of big data necessitating sophisticated computational methodologies. This review explores a diverse array of computational approaches which play crucial role in processing, normalizing, integrating, and analyzing omics data. Notable methods such similarity-based methods, network-based approaches, correlation-based methods, Bayesian methods, fusion-based methods and multivariate techniques among others are discussed in detail, each offering unique functionalities to address the complexities of multi-omics data. Furthermore, this review underscores the significance of computational tools in advancing our understanding of data and their transformative impact on research.

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来源期刊
Biotechnology advances
Biotechnology advances 工程技术-生物工程与应用微生物
CiteScore
25.50
自引率
2.50%
发文量
167
审稿时长
37 days
期刊介绍: Biotechnology Advances is a comprehensive review journal that covers all aspects of the multidisciplinary field of biotechnology. The journal focuses on biotechnology principles and their applications in various industries, agriculture, medicine, environmental concerns, and regulatory issues. It publishes authoritative articles that highlight current developments and future trends in the field of biotechnology. The journal invites submissions of manuscripts that are relevant and appropriate. It targets a wide audience, including scientists, engineers, students, instructors, researchers, practitioners, managers, governments, and other stakeholders in the field. Additionally, special issues are published based on selected presentations from recent relevant conferences in collaboration with the organizations hosting those conferences.
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