Standard methods for filtering enriched GO terms based on similarity scores?
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6.1 years ago
mbrando17 • 0

I have a list of enriched GO terms computed using any gene enrichment tool. I can compute similarity scores for my list of enriched terms using GOSim. And then based on the GOSim similarity scores, I would like to filter my list of enriched terms to remove redundant terms and reduce to a smaller, more meaningful sublist. Are there any precedents or standards for doing this? I can't seem to find anything.

R gene • 2.7k views
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6.1 years ago
Renesh ★ 2.0k

You can use Q-value for filtering enriched GO-terms.

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I'm assuming my list of enriched GO terms already consists of those enriched terms with adj. p-value (or other statistic) < threshold. I would like to further filter (or essentially re-rank) the list using term similarity scores so that if a set of terms is very similar, one term is kept and the others are removed (or given a lower ranking). I'd like to avoid making arbitrary choices if possible, so I'm just wondering if anyone has seen this done before.

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6.1 years ago
Woa ★ 2.8k

See if ReviGo can solve your problem:
http://revigo.irb.hr/

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That's just what I'm looking for. Thanks!

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