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- Incremental PCA is already [implemented in scikit-learn](https://scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html) but seems like it is straightforward to implement. See…
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Hi all,
My group is interested in implementing Kernel Linear Discriminant Analysis (LDA) with the paper described here http://www.kernel-machines.org/papers/upload_21840_GDA.pdf and I'd like to kn…
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Add the possibility to download a report, containg:
- [X] all QC information
- [X] all issue information
- a selection of the analysis
- [X] heatmap lipid species
- [ ] heatmap lipid c…
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hello
i had use _"adegent"_ finished my analysis and it works good
however，when i want to export my results figures in _pdf_，i find that the legend of the picture is disappear
the fact is that ：wh…
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Please consider adding an example for factor analysis along with PCA in the doc.
https://www.princeton.edu/~otorres/Factor.pdf
A general workflow in Stata would be:
- run factor analysis
- rotat…
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http://sebastianraschka.com/Articles/2014_pca_step_by_step.html
This might be a bit of a stretch. But is there anyway we could do this like save runs of different imagesets into a space (features) th…
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It should be brought to attention that. For our command generator, if run without `-n`, following error will occurs:
```
ERROR: [sample_match (sample_match)]: [sample_match]: Output target /mnt/mfs/…
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- [x] Remove all donwstream analyses e.g., DeSeq & PCA
- [x] change script [[count-matrix.py](http://count-matrix.py/)](http://count-matrix.py/) line 40 sep="\t" to sep = ","
- [x] switch to one s…
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We need to do some exploratory analysis of the relationships between variables, identify suitable candidates for feature engineering, and identify potential variables to apply dimensionality reduction…
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Hello, I have been trying to run smartpca and I keep getting this error:
> /home/bamorim/EIG/bin/smartpca -p smartpca.params.txt
### THE INPUT PARAMETERS
##PARAMETER NAME: VALUE
genotypename: …