Comments (4)
Hi @giovp ,
Thanks for your suggestion! The initial purpose of these two lines of commands are to get rid of the inconsistent capitalization of gene name. You are right, it is not always needed and thus it is better to make it optional.
I have just updated Tangram function pp_adatas with an additional parameter gene_to_lowercase. The default value is set as True. If not needed, people can alway set it as False to prevent conversion of the genes names to lower cases. One additional line of instructions is added before the pp_adatas function in tutorial.
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thank you!
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Hi,
It looks like this enforcing lower case was not only in pp_adatas, but also in tg.project_genes. After running it my sc_adata genes become all lower case. Can you please also provide an option to disable it there?
Thanks a lot!
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Indeed! that's really problematic and give rise to all sorts of issues, am reopening this cause the issue is not resolved
The initial purpose of these two lines of commands are to get rid of the inconsistent capitalization of gene name
I would also like to mention that there is no reason that such inconsistency should be resolved inside the method call, especially without throwing any warning.
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Related Issues (20)
- Can we have an API as batch size for the integration method? HOT 3
- No attribute 'pp_adatas' in tangram HOT 2
- Possible to use multiple single cell datasets in Tangram? HOT 3
- Cannot find correspondence of the input data HOT 1
- question about training genes HOT 1
- Some questions about best practices HOT 1
- Attribute error : module 'tangram' has no attribute 'map_cells_to_space' HOT 2
- scRNAseq cells < spatial cells, curious about how mapping works HOT 3
- Unexpected behaviour HOT 1
- Question about acceptable AUC, improving AUC HOT 1
- potential overfitting HOT 5
- Interpretation of tangram_ct_pred HOT 2
- Option "enforce gene lowercase" HOT 1
- error when sq.im.segment
- Tangram Deconvolution HOT 1
- Using Integrated single cell data for alignment
- AttributeError: module 'tangram' has no attribute 'pp_adatas'
- Sparsity_sc and sparsity_sp = 0
- Please explain `project_cell_annotations`
- Projecting spatial annotations to single cell HOT 2
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