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MaxLink :
MaxLink : network-based prioritization of genes tightly linked to a disease seed set
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- Guala, Dimitri (author)
- Stockholms universitet,Institutionen för biokemi och biofysik,Stockholm Bioinformatics Centre, Sweden
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- Sjölund, Erik (author)
- Stockholms universitet,Institutionen för biokemi och biofysik,Stockholm Bioinformatics Centre, Sweden
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- Sonnhammer, Erik L. L. (author)
- Stockholms universitet,Institutionen för biokemi och biofysik,Stockholm Bioinformatics Centre, Sweden; Swedish eScience Research Center, Sweden
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(creator_code:org_t)
- 2014-05-20
- 2014
- English.
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In: Bioinformatics. - : Oxford University Press (OUP). - 1367-4803 .- 1367-4811. ; 30:18, s. 2689-2690
- Related links:
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https://academic.oup...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- A Summary: MaxLink, a guilt-by-association network search algorithm, has been made available as a web resource and a stand-alone version. Based on a user-supplied list of query genes, MaxLink identifies and ranks genes that are tightly linked to the query list. This functionality can be used to predict potential disease genes from an initial set of genes with known association to a disease. The original algorithm, used to identify and rank novel genes potentially involved in cancer, has been updated to use a more statistically sound method for selection of candidate genes and made applicable to other areas than cancer. The algorithm has also been made faster by re-implementation in C + +, and the Web site uses FunCoup 3.0 as the underlying network.
Subject headings
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
Keyword
- Biochemistry towards Bioinformatics
- biokemi med inriktning mot bioinformatik
Publication and Content Type
- ref (subject category)
- art (subject category)
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