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选择正确的途径:利用途径结构增强生物学相关的基因或蛋白质组。

Choosing the right path: enhancement of biologically relevant sets of genes or proteins using pathway structure.

作者信息

Thomas Reuben, Gohlke Julia M, Stopper Geffrey F, Parham Frederick M, Portier Christopher J

机构信息

Environmental Systems Biology Group, Laboratory of Molecular Toxicology, National Institute of Environmental Health Sciences, RTP, NC 27709, USA.

出版信息

Genome Biol. 2009;10(4):R44. doi: 10.1186/gb-2009-10-4-r44. Epub 2009 Apr 24.

DOI:10.1186/gb-2009-10-4-r44
PMID:19393085
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2688935/
Abstract

A method is proposed that finds enriched pathways relevant to a studied condition using the measured molecular data and also the structural information of the pathway viewed as a network of nodes and edges. Tests are performed using simulated data and genomic data sets and the method is compared to two existing approaches. The analysis provided demonstrates the method proposed is very competitive with the current approaches and also provides biologically relevant results.

摘要

提出了一种方法,该方法利用测得的分子数据以及被视为节点和边网络的通路的结构信息来找到与所研究疾病相关的富集通路。使用模拟数据和基因组数据集进行测试,并将该方法与两种现有方法进行比较。所提供的分析表明,所提出的方法与当前方法相比具有很强的竞争力,并且还提供了生物学上相关的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06b/2688935/bea31bd90381/gb-2009-10-4-r44-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06b/2688935/5e19aec7e924/gb-2009-10-4-r44-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06b/2688935/f50c5c1585df/gb-2009-10-4-r44-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06b/2688935/bea31bd90381/gb-2009-10-4-r44-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06b/2688935/5e19aec7e924/gb-2009-10-4-r44-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06b/2688935/f50c5c1585df/gb-2009-10-4-r44-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06b/2688935/bea31bd90381/gb-2009-10-4-r44-3.jpg

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3
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4
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5
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6
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