Suppr超能文献

多组学数据整合方法:数学方面

Methods for the integration of multi-omics data: mathematical aspects.

作者信息

Bersanelli Matteo, Mosca Ettore, Remondini Daniel, Giampieri Enrico, Sala Claudia, Castellani Gastone, Milanesi Luciano

机构信息

Department of Physics and Astronomy, Universita' di Bologna, Via B. Pichat 6/2, Bologna, 40127, Italy.

Institute of Biomedical Technologies - CNR, Via Fratelli Cervi 93, Segrate MI, 20090, Italy.

出版信息

BMC Bioinformatics. 2016 Jan 20;17 Suppl 2(Suppl 2):15. doi: 10.1186/s12859-015-0857-9.

Abstract

BACKGROUND

Methods for the integrative analysis of multi-omics data are required to draw a more complete and accurate picture of the dynamics of molecular systems. The complexity of biological systems, the technological limits, the large number of biological variables and the relatively low number of biological samples make the analysis of multi-omics datasets a non-trivial problem.

RESULTS AND CONCLUSIONS

We review the most advanced strategies for integrating multi-omics datasets, focusing on mathematical and methodological aspects.

摘要

背景

需要多组学数据的综合分析方法,以便更完整、准确地描绘分子系统的动态变化。生物系统的复杂性、技术限制、大量的生物变量以及相对较少的生物样本数量,使得多组学数据集的分析成为一个具有挑战性的问题。

结果与结论

我们回顾了整合多组学数据集的最先进策略,重点关注数学和方法学方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8fa/4959355/7f75094055c2/12859_2015_857_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验