I recently encounter some issue when trying to analyze some data from specific organs. For example:
https://tabula-muris-senis.ds.czbiohub.org/thymus/droplet/
here it described the whole thymus analyzed through the Droplet pipeline contains 9275 cells and includes DN3, DN4, double negative T cell, immature T cell, professional APC and thymocyte.
thymus2 = sc.read_h5ad("C:/.../32669714/Thymus_droplet.h5ad")
C:...\miniconda3\lib\site-packages\anndata\compat__init__.py:180: FutureWarning: Moving element from .uns['neighbors']['distances'] to .obsp['distances'].
This is where adjacency matrices should go now.
warn(
C:...\miniconda3\lib\site-packages\anndata\compat__init__.py:180: FutureWarning: Moving element from .uns['neighbors']['connectivities'] to .obsp['connectivities'].
This is where adjacency matrices should go now.
warn(
so it seems like the cell number is 7570 which is lower than 9275 ? (difference ~1700)
and when I went through the "cell_ontology_class" I think I missed the "immature T cell", as I could not find this annotation (the number this population is about ~1700).
So I wonder which step I might do it wrong and lead to such problem ?
Also, just might be an naive question (maybe I missed some details regarding the methods ?), in theory we should expect DN-DP-SP populations within thymus, so why only DN is annotated here ? and plus, DN3, DN4, double negative T cell, immature T cell, and thymocyte, sound a bit confusing and feel like (based on conventional flow cytometry analysis) there might be some overlapping between these populations ? or for example, should the thymocyte be a mixture of SP etc. ?
Hi! Thanks a lot for this amazing work!
I recently encounter some issue when trying to analyze some data from specific organs. For example:
https://tabula-muris-senis.ds.czbiohub.org/thymus/droplet/ here it described the whole thymus analyzed through the Droplet pipeline contains 9275 cells and includes DN3, DN4, double negative T cell, immature T cell, professional APC and thymocyte.
but when I download the "h5ad" file from https://figshare.com/articles/dataset/Processed_files_to_use_with_scanpy_/8273102/2
and run: "
This is where adjacency matrices should go now. warn( C:...\miniconda3\lib\site-packages\anndata\compat__init__.py:180: FutureWarning: Moving element from .uns['neighbors']['connectivities'] to .obsp['connectivities'].
This is where adjacency matrices should go now. warn(
so it seems like the cell number is 7570 which is lower than 9275 ? (difference ~1700)
and when I went through the "cell_ontology_class" I think I missed the "immature T cell", as I could not find this annotation (the number this population is about ~1700).
So I wonder which step I might do it wrong and lead to such problem ?
Also, just might be an naive question (maybe I missed some details regarding the methods ?), in theory we should expect DN-DP-SP populations within thymus, so why only DN is annotated here ? and plus, DN3, DN4, double negative T cell, immature T cell, and thymocyte, sound a bit confusing and feel like (based on conventional flow cytometry analysis) there might be some overlapping between these populations ? or for example, should the thymocyte be a mixture of SP etc. ?
Thank you very much!