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globalchange > 过去全球变化的重建

DOI:	10.1371/journal.pone.0131656
论文题名:	iCOSSY: An Online Tool for Context-Specific Subnetwork Discovery from Gene Expression Data
作者:	Ashis Saha; Minji Jeon; Aik Choon Tan; Jaewoo Kang
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2015
发表日期:	2015-7-6
卷:	10, 期:7
语种:	英语
英文关键词:	Gene expression ; Web-based applications ; Genetic networks ; Network analysis ; Graphite ; Phenotypes ; Computer networks ; Microarrays
英文摘要:	Pathway analyses help reveal underlying molecular mechanisms of complex biological phenotypes. Biologists tend to perform multiple pathway analyses on the same dataset, as there is no single answer. It is often inefficient for them to implement and/or install all the algorithms by themselves. Online tools can help the community in this regard. Here we present an online gene expression analytical tool called iCOSSY which implements a novel pathway-based COntext-specific Subnetwork discoverY (COSSY) algorithm. iCOSSY also includes a few modifications of COSSY to increase its reliability and interpretability. Users can upload their gene expression datasets, and discover important subnetworks of closely interacting molecules to differentiate between two phenotypes (context). They can also interactively visualize the resulting subnetworks. iCOSSY is a web server that finds subnetworks that are differentially expressed in two phenotypes. Users can visualize the subnetworks to understand the biology of the difference.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0131656&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/21087
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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File Name/ File Size	Content Type	Version	Access	License
journal.pone.0131656.PDF（2155KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Department of Computer Science and Engineering, Korea University, Seoul, Korea;Department of Computer Science and Engineering, Korea University, Seoul, Korea;Department of Medicine/Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America;Department of Computer Science and Engineering, Korea University, Seoul, Korea;Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul, Korea

Recommended Citation:

Ashis Saha,Minji Jeon,Aik Choon Tan,et al. iCOSSY: An Online Tool for Context-Specific Subnetwork Discovery from Gene Expression Data[J]. PLOS ONE,2015-01-01,10(7)

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