19816451

Source:http://linkedlifedata.com/resource/pubmed/id/19816451

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0205460, umls-concept:C1511726, umls-concept:C1882071
pubmed:issue	10
pubmed:dateCreated	2009-10-9
pubmed:abstractText	Networks in biology can appear complex and difficult to decipher. We illustrate how to interpret biological networks with the help of frequently used visualization and analysis patterns.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9604648
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Oct
pubmed:issn	1546-1696
pubmed:author	pubmed-author:BaderGary DGD, pubmed-author:GfellerDavidD, pubmed-author:MericoDanieleD
pubmed:issnType	Electronic
pubmed:volume	27
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	921-4
pubmed:meshHeading	pubmed-meshheading:19816451-Data Interpretation, Statistical, pubmed-meshheading:19816451-Gene Regulatory Networks, pubmed-meshheading:19816451-Information Services, pubmed-meshheading:19816451-Metabolic Networks and Pathways, pubmed-meshheading:19816451-Models, Biological
pubmed:year	2009
pubmed:articleTitle	How to visually interpret biological data using networks.
pubmed:affiliation	Terrence Donnelly Centre for Cellular and Biomolecular Research and Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada.
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't