nsamusik
commented
6 years ago Hi Andrew,
First of all, could you please add the first column that is a text field, that would be a cell identifier (like Cell1, Cell2...) otherwise your first column doesn't get imported Second, there was a bug that had to do with the dimensionality of your dataset. I fixed it and here's the updated release:
https://github.com/nolanlab/vortex/releases/tag/26-Apr-2018
Let me know if it works
Nikolay
On Mon, Apr 23, 2018 at 9:07 AM Andrew Box notifications@github.com wrote:
I'm trying to import csv files of latent space 'features' from a deep learning analysis of some images in order to do clustering and visualization, and while I'm able to get vortex to see and import the csv files, when I click the "+" to add clustering nothing happens. I should say the latent space vector is 256 long, so that means I have 256 'channels' in my csv files, could that be the issue that I have too wide of a data set? Or might it be something about how my csv files are formatted or encoded?
A small example csv file is here:
https://drive.google.com/open?id=1vnZxdvF5TTva4lSQ8J8VfD9Wv0f2KbI4
Thanks.
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Andrew-InTheBox
I'm trying to import csv files of latent space 'features' from a deep learning analysis of some images in order to do clustering and visualization, and while I'm able to get vortex to see and import the csv files, when I click the "+" to add clustering nothing happens. I should say the latent space vector is 256 long, so that means I have 256 'channels' in my csv files, could that be the issue that I have too wide of a data set? Or might it be something about how my csv files are formatted or encoded?
A small example csv file is here:
https://drive.google.com/open?id=1vnZxdvF5TTva4lSQ8J8VfD9Wv0f2KbI4
Thanks.
Edit - it seems to be the number of channels, if I take a subset of 10 channels from the 256 latent space vector (i.e. 10 wide csv file), it seems to work as normla.