Emile

Using sparse or distance matrices as the input data yields unexpected clustering

2

Hello, James. First of all, thank you very much for your awesome implementation - it is the only one to date (in R, at least) that could handle sparse matrices...

applying cNMF to multiple datasets?

9

How would you recommend to proceed with multiple samples? In the original manuscript, you conclude that it is better to perform any kind of batch correction before applying cNMF, correct?

Port tiv to the Conda Forge?

6

### Is your feature request related to a problem? Please describe. Hello, for some folks who use a shared computation cluster on which `sudo` isn't permitted nor `module` system isn't...

Activation of network connection failed on Ubuntu 22.04

1

Hello I really enjoy this great suite, and I'm able to see the contents of my iphone when I connect it to my ubuntu machine. However, I cannot use the...

Add the ability to join multiple SCTmodels

6

Hello, this is in reference to the issue I filed in [Azimuth's](https://github.com/satijalab/azimuth/issues/207) repo. Essentially the function to produce reference `AzimuthReference` cannot handle input Seurat objects with more than 1 SCTModels...

The `name` provided ('clock-o') does not correspond to a known icon

1

I attach the sample file for reproducibility: [samplefile.txt](https://github.com/dynverse/dyno/files/11450140/samplefile.txt) ``` lympho.combined.datt.t

I want to use ENSEMBL annotations because my CellRanger output was aligned using GRCh38 v 32 (Ensembl 98). For that matter, I have the fasta sequence of the corresponding release,...

https://github.com/broadinstitute/wot

arm64 images support?

1

Hello & thanks for the great tool; Is there any possibility that (at least some of the) methods will be containerized under arm64 architecture so that it could be run...

Hello Dylan, I was wondering how you would adjust the convergence limit for the underlying NMF implementation from the `sklearn` package, so that the following warning goes away: ``` sklearn/decomposition/_nmf.py:1641:...