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https://github.com/bytedance/byteps
https://www.usenix.org/conference/osdi20/presentation/jiang
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For the mbio correlation app
So i think we'll need a `BipartiteNetwork` component, possibly also a `Network` component as well? Definitely a `NodeWithLabel` component.
See [doc](https://veupathdb.a…
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This issue tracks the backend and frontend tasks for adding a new flavor of correlation plugin. This flavor will take one type of assay (for example, pathway abundance) and correlate it with another c…
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this is a fantastic package, I'm just starting to figure things out, so apologies in advance, if this is somehow ignorant.
I'd really like to use a tripartite plot. (We have data where 2 axes are s…
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https://arxiv.org/pdf/2311.15566.pdf
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For the correlation app
See mockups for details. Also i will update this much, much more when we are getting closer and have a better idea of what we need to do :)
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Hi All,
Have you considered using a bipartite layout for the attribute connectivity plots produced by this function? The graph that this function creates is bipartite by definition, so it could he…
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Please see the attched.
```
> library(devtools)
Loading required package: usethis
> install_github("biometry/bipartite/bipartite")
Downloading GitHub repo biometry/bipartite@HEAD
Error: Failed…
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Samples may not all have data for assays (not the case for mbio, but it's possible in general), and they definitely dont all have data for each metadata var. For example, in bonus 8 part rep measures …
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The readme provides Throughput numbers, but I'm wondering what is the dataset size used.
Typically I would assume that throughput is higher for small sets and lower for larger datasets due to caching…