Comments (4)
Hi @jackbrougher,
Thanks for checking out the package! What version of decoupler are you using? I would recommend installing the latest one using:
pip install git+https://github.com/saezlab/decoupler-py
There was a bug in the get_pseudobulk
function in version 1.0.0
that should be fixed now. Else, just curious, what is your bulk_labels
indicating, cell type?
from decoupler-py.
That checks out! I updated and the command ran! Now I just need to figure out where I'm off before that to be getting an empty dataframe when computing DEA's.
And yep - bulk_labels is my cell type label.
from decoupler-py.
You can get an empty data-frame for different reasons, actually I will implement some warnings for when these cases happen to make it more informative. The reasons can be:
- You don't have enough samples to do a comparison. To make one, you need at least 2 samples of each group (at least 4 samples in total).
- The
condition
or thereference
labels are not incondition_col
. group_col
andcondition_col
need to be different.
Maybe you could post the line of code that you are using so that I can see it.
from decoupler-py.
I added some warnings in the function to better know what is going wrong, you can test it if you install the latest version again. Hopefully it makes it clearer!
from decoupler-py.
Related Issues (20)
- run_ora_df HOT 2
- Loading resources for mouse is not working HOT 9
- Differential expression error in pseudo-bulk step HOT 4
- shuffle_nets function produces networks with repeated edges HOT 1
- Module request: UCell signatures HOT 2
- use of the run_gsva method : format of the net argument HOT 1
- Switching to conda forge HOT 7
- Problems running decoupleR with Compressed Sparse Column (csc) count matrix HOT 2
- Error downlaoding progeny model for mouse species HOT 3
- shuffle_net output not random HOT 1
- method run_gsea() error : SystemError: CPUDispatcher(<function nb_gsea at 0x7f7477d3b9c0>) returned a result with an exception set HOT 6
- Pseudobulk for each sample HOT 2
- Method dc.run_gsva error HOT 2
- Get gene markers used to annotate the cell type HOT 2
- dc.get_progeny(organism = 'mouse') fails with ImportError HOT 5
- ValueError: Invalid value `loops` for `InteractionsQuery` in dc.get_collectri() HOT 2
- Functional PB Tutorial fails at dc.plot_associations HOT 5
- dc.get_collectri() does not work HOT 2
- Announcement: some Galaxy modules for some decoupler functionalities HOT 1
- Limiting usage of cores or threads HOT 2
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