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Hi,
It would be great if it were possible to provide sigclust2 a pre-defined cluster (e.g., from pheatmap).
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Currently doing this via visNetwork networks, but this gets messy when you try to scale it up to all phenotypes.
Instead, might try to summarise this with a circos plot, where line thickness is the…
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## Template for enhancement requests
Hi! The network graph output of the sig. testing is fantastic. Would this be possible for Bayesian correlations as well?
* Enhancement: Selecting Bayesian (Pe…
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**Similarity Score Representation**
Compute Normalized Byte Array from video frames from [ppvs](https://faculty.washington.edu/lagesse/publications/ppvs.pdf)
OR
Find alternative method(s) to prepro…
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Dear Biomod2 developers and experts,
I observed exaggerated importance score of a single variable (Bio9) relative to others. It accounts more than 80%. Is it acceptable?? If not, pls show me an…
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- Implement correlated features elimination in feature_elimination module (stick to the class API: fit, compute, fit_compute and plot, you can see example in ShapRFECV)
The process of feature elimi…
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Dear Developer,
Hello! I am reaching out to commend you on your excellent R package for species distribution modeling. However, I have encountered a few issues that I hope you can help me with.
…
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Hi!
The only feature selections that scikit-learn offers are quite naive. MRMR seems like a bit more advanced and reasonable approach to select informative and non-redundant features as described […
Garve updated
7 months ago
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I find that there are three test metrics relative to correlation of imputation: denoise_corr_normed│ denoise_corr_normed_all │ denoise_global_corr_normed.
I wonder what are their differences? And w…
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Since I frequently revise the code, it's better to write on here in order to use