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基因表达数据的一致性聚类与功能解读

Consensus clustering and functional interpretation of gene-expression data.

作者信息

Swift Stephen, Tucker Allan, Vinciotti Veronica, Martin Nigel, Orengo Christine, Liu Xiaohui, Kellam Paul

机构信息

Department of Information Systems and Computing, Brunel University, Uxbridge UB8 3PH, UK.

出版信息

Genome Biol. 2004;5(11):R94. doi: 10.1186/gb-2004-5-11-r94. Epub 2004 Nov 1.

DOI:10.1186/gb-2004-5-11-r94
PMID:15535870
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC545785/
Abstract

Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus set of clusters from a number of clustering methods should improve confidence in gene-expression analysis. Here we introduce consensus clustering, which provides such an advantage. When coupled with a statistically based gene functional analysis, our method allowed the identification of novel genes regulated by NFkappaB and the unfolded protein response in certain B-cell lymphomas.

摘要

使用聚类算法的微阵列分析在将相关基因表达谱分配到聚类中时可能缺乏方法间的一致性。从多种聚类方法中获得一组一致的聚类应能提高基因表达分析的可信度。在此，我们引入了一致性聚类，它具有这样的优势。当与基于统计学的基因功能分析相结合时，我们的方法能够识别出某些B细胞淋巴瘤中受NFκB和未折叠蛋白反应调控的新基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/6a9c45a2ceef/gb-2004-5-11-r94-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/12ee85e0b38e/gb-2004-5-11-r94-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/0c7376fa8507/gb-2004-5-11-r94-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/6c3b64ef6de0/gb-2004-5-11-r94-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/f2ee160592a6/gb-2004-5-11-r94-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/4aa9277c24a9/gb-2004-5-11-r94-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/1edf36a042ca/gb-2004-5-11-r94-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/6a9c45a2ceef/gb-2004-5-11-r94-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/12ee85e0b38e/gb-2004-5-11-r94-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/0c7376fa8507/gb-2004-5-11-r94-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/6c3b64ef6de0/gb-2004-5-11-r94-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/f2ee160592a6/gb-2004-5-11-r94-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/4aa9277c24a9/gb-2004-5-11-r94-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/1edf36a042ca/gb-2004-5-11-r94-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5524/545785/6a9c45a2ceef/gb-2004-5-11-r94-7.jpg

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