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I am trying to generate synthetic CT images (grayscale) with corresponding pancreas and tumor labels (both are binary images). I use a 3 channel input image, where the CT image is on the first channel…
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Dear professors,
Hi!
In the examples demonstrating how to prepare a normalized object list with SCTransform for integration (https://satijalab.org/seurat/reference/prepsctintegration), the provided …
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Step to reproduce:
1. Go to SCXA home page and click on `CFTR` link from the list of examples
**Expected result:**
In the resulting table the `Number of assays` should be populated of the number of…
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Hi,
first of all thanks for this framework, it is very useful.
I had a question regarding the notebook for the DICOM example under "./examples/LCTSC_DICOMInterface.ipynb"
what is the need of …
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I find the code finally output 13 classes' results, but in inference_synpase.py, you wanna 8 classes like other papers. i wonder is the final result save in "summary.json"? and when i reproduce the co…
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Hi, would you be able to add example script how to connect pre-processing in R and follow up with autoencoder in Python please?
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Hi,
When read h5ad file with SCP with this code:
```
adata
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Hi. I'm currently using the the muscle_adipose_tissue pipeline and it works perfectly.
However, I run into some issues when trying to use the spine_muscle_adipose_tissue and liver_spleen_pancreas pip…
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Dear CellChat developors,
I am Luca and I work in the Diabetes field. I have a big dataset with more than 30 samples from pancreatic islets (which are mainly based on beta cells) and I cannot seem…
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For PTV burdens we made 3 different analysis:
In the first analysis the PTV burdens were cut off at the median, that is how we got the two group: Low and High burden.
In the second analysis the PTV …