Update vector ID's for betweenness centrality
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# Purpose: A Bioinformatics Course:
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# R code accompanying the BIN-PPI-Analysis unit.
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#
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# Version: 1.3
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# Version: 1.4
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#
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# Date: 2017-08 - 2020-10
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# Author: Boris Steipe (boris.steipe@utoronto.ca)
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#
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# Versions:
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# 1.4 Update vector ID's for betweenness centrality.
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# 1.3 Bugfix: called the wrong function on ENSPsel in l. 220
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# 1.2 2020 Updates; Rewrite for new STRINg V11;
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# Deprecate save()/load() for saveRDS()/readRDS()
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@ -35,13 +36,13 @@
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#TOC>
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#TOC> Section Title Line
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#TOC> ---------------------------------------------------------------
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#TOC> 1 Setup and data 49
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#TOC> 2 Functional Edges in the Human Proteome 85
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#TOC> 2.1 Cliques 128
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#TOC> 2.2 Communities 169
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#TOC> 2.3 Betweenness Centrality 183
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#TOC> 3 biomaRt 230
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#TOC> 4 Task for submission 301
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#TOC> 1 Setup and data 50
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#TOC> 2 Functional Edges in the Human Proteome 86
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#TOC> 2.1 Cliques 129
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#TOC> 2.2 Communities 170
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#TOC> 2.3 Betweenness Centrality 184
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#TOC> 3 biomaRt 231
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#TOC> 4 Task for submission 302
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#TOC>
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#TOC> ==========================================================================
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@ -201,8 +202,8 @@ names(BC$res) <- as.character(1:length(BC$res))
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sBC <- sort(BC$res, decreasing = TRUE)
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head(sBC)
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# This ordered vector means: node 3,862 has the highest betweeness centrality,
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# node 1,720 has the second highest.. etc.
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# This ordered vector means: node 3 has the highest betweeness centrality,
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# node 721 has the second highest, etc.
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(BCsel <- as.numeric(names(sBC)[1:10]))
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