CODEWITHSUNDEEP
rcytoscape
Arif Rahman
Arif Rahman

Reputation: 49

How to create gene co-expression network from a data frame containing node and edge information using Rcy3 or igraph package in R?

I have a gene co-expression data frame which contains 'from' nodes (Probe_ID1), 'to' nodes (Probe_ID2), and the co-expression parameter (Pearson_correlation). I would like to create an undirected network via cytoscape in R. I have tried going through some tutorials where they show how to use expression matrix or separate data table for nodes and edges to create network using Rcy3 and igraph. No luck so far.(https://bioconductor.github.io/BiocWorkshops/cytoscape-automation-in-r-using-rcy3.html) (http://www.vesnam.com/Rblog/viznets5/)

The data frame looks like below-

enter image description here

When I used

  • g <- graph_from_data_frame(df, directed = FALSE)
  • plot(g, edge.width = E(g)$Pearson_correlation)

I get a static plot which is not very useful!

My goal is to create a graph like below-

enter image description here

Thank you so much for your help.

df <- structure(list(Probe_ID1 = c("1377847_at", "1377847_at", "1374391_at", "1377847_at", "1374391_at", "1371293_at", "1370349_a_at", "1375043_at", "1377847_at", "1374391_at", "1371293_at", "1367896_at", "1370349_a_at", "1367555_at", "1377847_at", "1374391_at", "1371293_at", "1367896_at", "1371400_at", "1377847_at"), Probe_ID2 = c("1374391_at", "1371293_at", "1371293_at", "1367896_at", "1367896_at", "1367896_at", "1367555_at", "1373759_at", "1371400_at", "1371400_at", "1371400_at", "1371400_at", "1367556_s_at", "1367556_s_at", "1370150_a_at", "1370150_a_at", "1370150_a_at", "1370150_a_at", "1370150_a_at", "1387033_at"), Pearson_correlation = c(0.848285270961176, 0.811387513485743, 0.984665285551617, 0.810053803921012, 0.87996593265479, 0.831296522615296, 0.97896759238534, 0.865015908452676, 0.95200088118552, 0.897979364923317, 0.862952264288276, 0.871551804796571, 0.982470139843159, 0.983102257804976, 0.944065566290634, 0.885963573215256, 0.86195415426524, 0.856926733543681, 0.992345494455764, 0.890033683765388 )), class = "data.frame", row.names = c(NA, -20L))

Upvotes: 1

Views: 576

Answers (1)

AlexanderPico
AlexanderPico

Reputation: 507

Using RCy3, you can do this a couple different ways.

  1. Given your igraph object 'g', you can simply run

    RCy3::createNetworkFromIgraph(g)

    As long as you have a local instance of Cytoscape running, this function will open an interactive session with your network. You can then change any aspect of the layout or style using 100s of functions in RCy3.

  2. Given your original dataframe, 'df', you can specify source and target columns (even for undirected networks) and load the network by

    colnames(df)[1:2] <- c("source", "target") RCy3::createNetworkFromDataFrames(edges=df)

    The output in Cytoscape should be identical. And you can carry on with network analysis and visualization.

Upvotes: 0

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