<p>I think you forgot to load (or install) the <code>doParallel</code> package as the <strike>error</strike> warning message is complaining about the lack of a parallel backend. <code>library("doParallel")</code> should do the trick.</p>

CC BY-SA 4.0
2019-10-10T07:51:07.740Z
Thank you, I have tried this.. but still getting same error message. Packages I installed now are; edgeR, limma, doParallel, WGCNA
holly
CC BY-SA 4.0
2019-10-09T21:09:17.287Z
2019-10-10T07:18:01.950Z
2019-10-10T07:18:01.950Z
haci
<p>What you see is a warning, not an error. Your calculation will run fine, just slower. Unless you see other errors, you should be able to complete all steps of the analysis.</p>

CC BY-SA 4.0
2019-10-09T23:00:21.903Z
2019-10-09T23:00:21.903Z
Peter Langfelder
<p>I am using WGCNA to identify Consensus modules. I get a warning message when completing the following step:</p>

<blockquote>
  <p>Call the network topology analysis function for each set in turn</p>
</blockquote>

<p>Warning:</p>

<pre><code>Warning message: executing %dopar% sequentially: no parallel backend registered
</code></pre>

<p>Does anyone no what this error code means as I cannot plot the scale free analysis, with soft thresholding.</p>

<p>Thank you </p>

<p><code>powers = c(seq(4,10, by=1), seq(12,20, by=2))
powerTables = vector(mode= "list", length = nSets)
for( set in 1:nSets)
powerTables[[set]] = list(data=pickSoftThreshold(multiExpr[[set]]$data, powerVector= powers,
verbose =2)[[2]])</code></p>

CC BY-SA 4.0
2019-10-09T20:53:35.160Z
Please add your code giving the error and especially the packages you have loaded.
haci
<r><wgcna>
R WGCNA error code
# R WGCNA error code

(Asked by: username_0 on 2019-10-09)

I am using WGCNA to identify Consensus modules. I get a warning message when completing the following step:

Call the network topology analysis function for each set in turn

Warning:
Warning message: executing %dopar% sequentially: no parallel backend registered

Does anyone no what this error code means as I cannot plot the scale free analysis, with soft thresholding.
Thank you 
powers = c(seq(4,10, by=1), seq(12,20, by=2))
powerTables = vector(mode= "list", length = nSets)
for( set in 1:nSets)
powerTables[[set]] = list(data=pickSoftThreshold(multiExpr[[set]]$data, powerVector= powers,
verbose =2)[[2]])

**Tags:** r, wgcna
> **Comments:**
> **username_1**: Please add your code giving the error and especially the packages you have loaded.  

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## 2 answers

### Answer by username_1 on 2019-10-09. Score: 0 | Accepted answer

I think you forgot to load (or install) the `doParallel` package as the error warning message is complaining about the lack of a parallel backend. `library("doParallel")` should do the trick.

> **Comments:**
> **username_0**: Thank you, I have tried this.. but still getting same error message. Packages I installed now are; edgeR, limma, doParallel, WGCNA  

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### Answer by username_2 on 2019-10-09. Score: 1

What you see is a warning, not an error. Your calculation will run fine, just slower. Unless you see other errors, you should be able to complete all steps of the analysis.


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