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biocore / emperor

Emperor a tool for the analysis and visualization of large microbial ecology datasets
http://biocore.github.io/emperor/
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add support for other dimensionality reduction techniques #272

Open jahschwa opened 10 years ago

jahschwa commented 10 years ago

EMPeror currently requires the eigenvalues and percent variation explained because these are important pieces of information in PCoA plots. However, in adding new algorithms to QIIME, specifically Manifold Learning techniques via Scikit-Learn, these new algorithms are not eigenvector problems, and thus do not compute those info. Perhaps make these values optional?

I haven't found any other features that are PCoA specific, but that doesn't mean there aren't any, as I'm not terribly familiar with EMPeror.

In response to: https://github.com/biocore/qiime/pull/1531

ElDeveloper commented 10 years ago

This depends mainly on https://github.com/biocore/scikit-bio/issues/99

ElDeveloper commented 10 years ago

The only update I have seen in https://github.com/biocore/scikit-bio/issues/99 is the addition of this feature into the next milestone which has no due date.

ElDeveloper commented 10 years ago

@antgonza if you agree we should remove it from our current milestone.

antgonza commented 10 years ago

Fine with me.

mortonjt commented 9 years ago

We're reviving this issue here: https://github.com/biocore/emperor/issues/356