Comments (7)
Hi,
Thank you for the debugging. I will make a note and try to do this in the next two weeks, if you find time for a PR, I will merge as well.
Just to make sure, is this line what you found to be the issue?
from degreport.
Hi,
I am facing the same problem with degPatterns() with the number of genes input ranging from 1000-4000. I've used this function multiple times in the past without a glitch for more than 6000 genes, generating the object, cluster image and, exporting the group-wise gene list.
Temporarily I've been managing by running the following code at bash before opening R from the same terminal ulimit -s unlimited
. With this, the object gets created and I can export the group-wise gene lists but I cannot save the cluster image since it gets replaced by the dendrogram. Has this issue been resolved yet or is there a way to get around this?
Thanks so much!
from degreport.
Hi, I am still trying to figure out the issue. It is hard because I cannot reproduce in MACOSX. I will try to remove the dendrogram code and see if that helps.
from degreport.
I have pushed an temporary fix to avoid using dendextend in the main branch of this repo. Could you test loading the code from this branch and see if the errors go away?
from degreport.
Hello,
I am currently on R 4.3.2, DEGReport v 1.38.5, and macOS 14.4 and I am still having this issue. As noted by previous commentators, the error appears when a large number of genes are submitted for clustering (in my case, I would get this error "C stack usage 7969268 is too close to the limit" when the number of genes was over 5000). I just reduced the number of genes to 4300 by using a more stringent p-value, and I was able to successfully cluster them. However, it would be cool if we could cluster without having to make alterations to our thresholds.
Thanks for looking into this!
from degreport.
Can you install version: 1.39.6? Right now it is GitHub main, so you will need to install it with devtools? If that works I will merge it with bioconductor. thanks!
from degreport.
Hi!
I just tried out v 1.39.6 and had no issues clustering a large number of genes. Thank you for the quick fix!
from degreport.
Related Issues (20)
- Plot shows only one coldata group on x-axis HOT 3
- lasso2 is an R4 only package HOT 1
- z-scores of gene abudance HOT 10
- Show Expression Changes from One Cluster HOT 5
- Extract One Cluster Plot from degPlotCluster HOT 3
- Extracting Gene-Gene distance matrix from DegPatterns HOT 3
- Sort each cluster graph numerically HOT 1
- Validate the clusters from degPatterns HOT 2
- Regarding Group # from degPatterns Output HOT 2
- Regarding Clustering Based on Expression Pattern HOT 1
- `lasso2` dependency no longer on CRAN HOT 5
- Boxplot position HOT 1
- issues with degPatterns not setting Time in Normalize HOT 8
- degCovariates does not shade by r value HOT 5
- How does degPatterns() decide what height to use for cutting tree HOT 1
- Error in DEGpatterns: could not find function "set" HOT 11
- `scale` parameter is missing in `degPCA` HOT 1
- Clarification with degMerge function
- New genes that did not exist in dds object suddenly showed up after degPatterns
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from degreport.