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Using networks to measure similarity between genes: association index selection.


ABSTRACT: 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.

SUBMITTER: Fuxman Bass JI 

PROVIDER: S-EPMC3959882 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature

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Using networks to measure similarity between genes: association index selection.

Fuxman Bass Juan I JI   Diallo Alos A   Nelson Justin J   Soto Juan M JM   Myers Chad L CL   Walhout Albertha J M AJ  

Nature methods 20131201 12


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 fo  ...[more]

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