Editorial: Advances in methods and tools for multi-omics data analysis.
作者信息
Cominetti Ornella, Agarwal Sumeet, Oller-Moreno Sergio
机构信息
Nestlé Research Center, Lausanne, Switzerland.
Indian Institute of Technology Delhi, New Delhi, India.
出版信息
Front Mol Biosci. 2023 Apr 24;10:1186822. doi: 10.3389/fmolb.2023.1186822. eCollection 2023.
Abstract
摘要
相似文献
1
Editorial: Advances in methods and tools for multi-omics data analysis.社论：多组学数据分析方法与工具的进展
Front Mol Biosci. 2023 Apr 24;10:1186822. doi: 10.3389/fmolb.2023.1186822. eCollection 2023.
2
EATRIS, a European initiative to boost translational biomedical research.EATRIS是一项旨在推动转化生物医学研究的欧洲倡议。
Am J Nucl Med Mol Imaging. 2013;3(2):166-74. Epub 2013 Mar 8.
3
Tackling the translational challenges of multi-omics research in the realm of European personalised medicine: A workshop report.应对欧洲个性化医疗领域多组学研究的转化挑战：一份研讨会报告。
Front Mol Biosci. 2022 Oct 13;9:974799. doi: 10.3389/fmolb.2022.974799. eCollection 2022.
4
Computational approaches for network-based integrative multi-omics analysis.基于网络的整合多组学分析的计算方法
Front Mol Biosci. 2022 Nov 14;9:967205. doi: 10.3389/fmolb.2022.967205. eCollection 2022.
5
Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations.基于机器学习的云平台多组学数据分析用于研究基因调控
Brief Bioinform. 2021 Jan 18;22(1):66-76. doi: 10.1093/bib/bbaa032.
6
Precision medicine with multi-omics strategies, deep phenotyping, and predictive analysis.采用多组学策略、深度表型分析和预测性分析的精准医学。
Prog Mol Biol Transl Sci. 2022;190(1):101-125. doi: 10.1016/bs.pmbts.2022.02.002. Epub 2022 Mar 7.
7
Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools.肿瘤学中的综合多组学分析：机器学习方法与工具综述
Front Oncol. 2020 Jun 30;10:1030. doi: 10.3389/fonc.2020.01030. eCollection 2020.
8
HCNM: Heterogeneous Correlation Network Model for Multi-level Integrative Study of Multi-omics Data for Cancer Subtype Prediction.HCNM：用于癌症亚型预测的多组学数据多层次综合研究的异质相关网络模型。
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:1880-1886. doi: 10.1109/EMBC46164.2021.9630781.
9
Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine.系统生物学和精准医学中基于体和单细胞的多组学方法的进展。
Brief Bioinform. 2021 Sep 2;22(5). doi: 10.1093/bib/bbab024.
10
Using machine learning approaches for multi-omics data analysis: A review.使用机器学习方法进行多组学数据分析：综述
Biotechnol Adv. 2021 Jul-Aug;49:107739. doi: 10.1016/j.biotechadv.2021.107739. Epub 2021 Mar 29.
引用本文的文献
1
Artificial intelligence: the human response to approach the complexity of big data in biology.人工智能：人类应对生物学大数据复杂性的方式
Gigascience. 2025 Jan 6;14. doi: 10.1093/gigascience/giaf057.
2
A modern multi-omics data exploration experience with Panomicon.使用Panomicon进行现代多组学数据探索体验。
Bioinform Adv. 2024 Oct 3;4(1):vbae147. doi: 10.1093/bioadv/vbae147. eCollection 2024.
Zotero 插件