Using networks to measure similarity between genes: association index selection
Authors
Fuxman Bass, Juan I.Diallo, Alos
Nelson, Justin
Soto, Juan M.
Myers, Chad L.
Walhout, Albertha J. M.
Document Type
Journal ArticlePublication Date
2013-11-26
Metadata
Show full item recordAbstract
Biological networks can be used to functionally annotate genes on the basis of interaction-profile similarities. Metrics known as association indices can be used to quantify interaction-profile similarity. We provide an overview of commonly used association indices, including the Jaccard index and the Pearson correlation coefficient, and compare their performance in different types of analyses of biological networks. We introduce the Guide for Association Index for Networks (GAIN), a web tool for calculating and comparing interaction-profile similarities and defining modules of genes with similar profiles.Source
Fuxman Bass JI, Diallo A, Nelson J, Soto JM, Myers CL, Walhout AJ. Using networks to measure similarity between genes: association index selection. Nat Methods. 2013 Nov 26;10(12):1169-76. doi: 10.1038/nmeth.2728. Link to article on publisher's siteDOI
10.1038/nmeth.2728Permanent Link to this Item
http://hdl.handle.net/20.500.14038/49917PubMed ID
24296474Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1038/nmeth.2728