Questions tagged [wgcna]
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Where to access the WGCNA tutorial documents: Horvath lab site down
I am currently using the WGCNA package for some analysis and it seems the Horvath lab site is down. Does anyone know of anywhere else I can access the tutorial documents?
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How do I select a subset of genes for functional enrichment(GO/KEGG) analysis from WGCNA results?
I am working on using WGCNA for a bulk RNA-seq experiment. I have three experimental conditions (control, treatment 1, and treatment 2) and have a total sample size of 18 (6 per group). Using the ...
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Coexpression network analysis
I have a question related with the most popular frameworks for network construction: WGCNA for weighted networks and igraph package for unweighted networks.
What are the advantages or disadvantages of ...
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How to find closely related genes for a specific gene from WGCNA modules?
I have used WGCNA by integrating several datasets which are processed in a similar way. Identified 17 modules, followed by performed pathway analysis with the genes present in those modules.
Among all ...
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Is it possible to integrate multiple gene expression datasets and use it for WGCNA?
I have 8 RNA-seq datasets and am interested in looking at genes co-expressed with a specific gene.
Among 8 RNA-seq datasets, 6 have less than 20 samples. Rather than working on each dataset ...
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How to improve this WGCNA analysis
This is my first time working on using WGCNA on a microarray dataset. One of the major problems I am facing is merging close modules which is not really working well. I have quantile normalised the ...
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WCGNA - Relate modules with Y features when the % of variance explained of each eigengen is low
I'm doing a WCGNA analysis (signed network) on microbiome 16S data.
I have transformed counts to centeres log-ratio transformed data (CLR) to address the compositional characteristics of the data and ...
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How can to validate the presence of a certain type of cells in a single cell dataset?
I have a single cell dataset which I consider to be a reference , let say, for an human organ, I have identified some new clusters that correspond to cell types. I also have WGCNA modules that ...
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How to assess quality of WGCNA module identification in blockwisemodules()
I'm exploring WGCNA for bulkRNA sequencing analysis with human subjects. I have healthy, myocarditis, and heart failure patients (which can be further broken into ischemic or nonischemic)
I have been ...
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Tutorial for the WGCNA: changes in heatmap colours
I am trying to reproduce the results of the R tutorial of the WGCNA package.
In section I number 5, when generating the heatmap it is quite similar to the one provided by the pdf but the colours of ...
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Find enriched processes in modules obtained by WGCNA
I am doing a gene enrichment of different clusters obtained by WGCNA, but there are some of them in which I don't get enriched processes, is there any way to find processes to these modules, for ...
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no expression for hub genes identified in wgcna
I tried to identify intramodular hub genes in WGCNA analysis. I used:
hub = chooseTopHubInEachModule(datExpr, moduleColors)
But ...
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258
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WGCNA hub genes error
I am trying to find hub genes for modules made using WGCNA:
hub = chooseTopHubInEachModule(datExpr, moduleColors)
But I am getting error:
...
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348
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How does decrease the size of "grey" module in WGCNA framework?
Relate to finding soft power, I ran "pickSoftThreshold" function and the result of that(sft) is as follow:
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Does module size decrease as the number of samples increase in WGCNA?
We are working with a lot of samples, more than 50,000 people! We are using WGCNA to get modules and it seems like there are less number of module genes the more people we use. We are following the ...
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Running GSEA or comparable analysis with multiple variable interaction?
I am working with an RNA-seq dataset generated from a complex experimental design. Our main question is focused on the interaction between two variables, one (INJ) with two conditions (L,S) and the ...
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How to calculate module-trait relationship when trait data is in binary format?
I have a dataset of 50 breast cancer samples. These samples are classified into four subtypes Lum A, Lum B, Her2 and Basal. I have been working with lncRNAs and protein-coding genes. To identify the ...
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Which module to select for Pathway analysis based on Module trait correlation and pvalue?
I have a total of 35 tumor samples classified into 4 subtypes. Subtype A, B, C, and D. I have RNAseq data. I'm interested in identifying modules related to each subtype with co-expression network ...
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362
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WGCNA co-expression network analysis with less than 20 samples
I have two cancer subtypes data. Subtype A is 14 samples and Subtype B is 23 samples. I'm interested in identifying the functions of some LncRNAs in the Subtype A group. For this I'm using all protein-...
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Weighted Network Analysis Book by Steve Horvath, taking the power of a matrix
In Horvath's Weighted network analysis, the author mentions that M^b, where b is a real number and M is a matrix, denotes the element-wise power. This seems odd to me. The way I was taught, M^b would ...
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Speeding up network creation in WGCNA
I am following the tutorials on the WGCNA website for creating a coexpression network. It is taking way too long. Is there a way to speed up execution? All I need is to create the co-expression graph. ...
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Importing a WGCNA co-expression network into a networkX graph in Python
Is there a way to generate a WGCNA co-expression graph in R, and then to import that graph into Python such that I can represent it using a networkX object?
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Identifying mutually **exclusive** gene sets
I am interested in identifying gene pairs (or better: sets of genes) whose expression is mutually exclusive.
Ideally, both genes (or gene sets) would be widely expressed but I am also interested in ...
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WGCNA: Problem with selecting soft threshold
I have 25 tumor samples with counts data. Initially, I filtered out low expressed genes and then converted counts to varianceStabilizingTransformation using ...
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Module preservation and hub genes finding
I ran module preservation analysis between two condition and on the basis of preservation z summary i would to go for downstream analysis.So I m interested in looking for hub-genes of those modules ...
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Parallelizing WGCNA k-means clustering and merging smaller clusters
WGCNA carefully takes advantage of server parallelization in several functions, and I can switch this on with:
enableWGCNAThreads(nThreads=28)
That speeds up ...
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Tree cut height for Consensus data input not working
I have tried different combination of tree cut heights but im getting the exprSize as one sample as full the other one as empty .
...
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WGCNA module preservation doubt
The WGCNA analysis page48 of that link.
In this analysis they are comparing the Preservation of modules between human and chimpanzee brain networks where i see the number of human modules and chimp ...
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230
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WGCNA correcting p value for varying sample numbers in each of the trait columns
I am correcting a data frame of sample comparison using p value. However in some columns I have different sample numbers. Within the data frame I have 4 comparisons e.g B_R, R_C, B_C, C_C. They each ...
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WGCNA module preservation error code with plotting summary statistics
I am trying module preservation with WGCNA using my own data. I am plotting the summary statistics including Zsummary, medianRank, observed IGP and IGP permutation p-value for two comparison data sets....
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WGCNA module preservation
I am completing the online tutorials for module preservation of human brain modules in chimpanzee brains and vice versa (III). If anyone is aware of this tutorial or practiced before wondering if can ...
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WGCNA module preservation analysis
I have case control studies,4 different condition where I have 1 control and against which I'm have 3 comparisons to make.
I did WGCNA for individuals samples .Here I have the kept the number of ...
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306
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R WGCNA error code
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:
...
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module differential connectivity (MDC) analysis
In this paper I am citing the lines below:
Intra-modular connectivity of resilient and susceptible network modules was compared to that of corresponding genes in control mice to identify gain, loss, ...
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Hierarchical clustering for outlier detection - single cell RNASeq & WGCNA
I wish to conduct WGCNA on a single cell RNASeq dataset and, when choosing the optimal beta parameter after running pickSoftThreshold am presented with a rather ...
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Error Code in WGCNA: Dealing with large data sets: block-wise network construction andmodule detection
I am comparing single block module detection with 2 block module detection in WGCNA.
Does anyone know what this relates to? I have rechecked and rechecked my codes for both the single and 2 module ...
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WGCNA error codes in Network Construction & moduel detection
I am using WGCNA and code has worked with no problems with some of my datasets however with most recent attempt when completing gene network & identification of modules. I get following error code....
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Question about Co-expression analysis and finding targets for lncRNAs
I have a dataset with 88 tumor and 113 normal samples. Among the 50k genes after filtering there are a total of 28k genes (both mRNAs and lncRNAs)
I wanted to do co-expression analysis between ...
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