integrOmics: an R package to unravel relationships between two omics datasets.
integrOmics: an R package to unravel relationships between two omics datasets.
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DOI：
10.1093/bioinformatics/btp515
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发表时间：
2009-11-01
期刊：
影响因子：
--
通讯作者：
Déjean S
中科院分区：
文献类型：
--
作者：
Lê Cao KA;González I;Déjean S
动机：随着转录组学、蛋白质组学或代谢组学等许多“组学”数据的可用性，来自不同技术平台的多个数据集的整合或联合分析对于揭示不同生物功能水平之间的关系变得至关重要。然而，这种分析的发展是一个主要的计算和技术挑战，因为大多数方法都受到高数据维度的影响。需要开发和验证新的方法。结果：integrOmics有效地对在相同样品上测量的两种类型的“组学”变量进行综合分析。它包括正则化版本的典型相关分析，以揭示两个数据集之间的相关性，以及偏最小二乘（PLS）回归的稀疏版本，其中包括两个数据集中的同时变量选择。这两种方法的有效性已经被证明，并成功地应用于各种综合研究中。可用性：可以从http://CRAN.R-project.org/或提供完整文档和教程的网站伙伴（http://math.univ-toulouse.fr/biostat）免费获得integrOmics。补充信息：补充数据可在Bioinformatics在线获取。
Motivation: With the availability of many ‘omics’ data, such as transcriptomics, proteomics or metabolomics, the integrative or joint analysis of multiple datasets from different technology platforms is becoming crucial to unravel the relationships between different biological functional levels. However, the development of such an analysis is a major computational and technical challenge as most approaches suffer from high data dimensionality. New methodologies need to be developed and validated. Results: integrOmics efficiently performs integrative analyses of two types of ‘omics’ variables that are measured on the same samples. It includes a regularized version of canonical correlation analysis to enlighten correlations between two datasets, and a sparse version of partial least squares (PLS) regression that includes simultaneous variable selection in both datasets. The usefulness of both approaches has been demonstrated previously and successfully applied in various integrative studies. Availability: integrOmics is freely available from http://CRAN.R-project.org/ or from the web site companion (http://math.univ-toulouse.fr/biostat) that provides full documentation and tutorials. Contact: k.lecao@uq.edu.au Supplementary information: Supplementary data are available at Bioinformatics online.
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影响因子：
11
作者：
Yergeau, Etienne;Schoondermark-Stolk, Sung A.;Kowalchuk, George A.
通讯作者：
Kowalchuk, George A.
DOI：
10.2202/1544-6115.1390
发表时间：
2008-01-01
影响因子：
0.9
作者：
Le Cao, Kim-Anh;Rossouw, Debra;Besse, Philippe
通讯作者：
Besse, Philippe
影响因子：
1.6
作者：
Gonzalez, I.;Dejean, S.;Baccini, A.
通讯作者：
Baccini, A.
影响因子：
7.1
作者：
Combes, Sylvie;Gonzalez, Ignacio;Larzul, Catherine
通讯作者：
Larzul, Catherine
DOI：
10.1111/j.2517-6161.1996.tb02080.x
发表时间：
1996-01-01
影响因子：
5.8
作者：
Tibshirani, R
通讯作者：
Tibshirani, R