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I load it into R using the anndata package (full list of each metadata column has been truncated by me): > brain2 AnnData object with n_obs × n_vars = 1915592 × 1122 obs: 'organism_ontology_term_id', 'donor_id', 'development_stage_ontology_term_id', 'sex_ontology_term_id', 'major_brain_region', 'cell_type'... (29 obs_keys in total) var: 'gene_name', 'feature_is_filtered', 'feature_name'... (6 var_keys in total) uns: 'citation', 'schema_reference'... (4 uns_keys in total) obsm: 'X_CCF', 'X_spatial_coords', 'X_umap'
Now, my question is: Is there a method in R using the anndata package to delete the metadata columns I don't need en masse or at once? brain2$obs$organism_ontology_term_id <- NULL will delete that column or whichever I specify. I could probably figure out something with a for loop, but I feel like there must be a way for me to just specify the column names I want to keep and save those while preserving the cell counts. Several methods I have tried have resulted in python errors.
This may be due to me missing something w/r/t syntax for subsetting in R, of course.
Thanks for any assistance.
The text was updated successfully, but these errors were encountered:
Hello!
I have a large h5ad file, named as
brain2.h5ad
. I downloaded this from the website CellxGene, can be found here:https://datasets.cellxgene.cziscience.com/427090ae-5e21-421f-b178-e66a930ca63c.h5ad
I load it into R using the anndata package (full list of each metadata column has been truncated by me):
> brain2 AnnData object with n_obs × n_vars = 1915592 × 1122 obs: 'organism_ontology_term_id', 'donor_id', 'development_stage_ontology_term_id', 'sex_ontology_term_id', 'major_brain_region', 'cell_type'... (29 obs_keys in total) var: 'gene_name', 'feature_is_filtered', 'feature_name'... (6 var_keys in total) uns: 'citation', 'schema_reference'... (4 uns_keys in total) obsm: 'X_CCF', 'X_spatial_coords', 'X_umap'
Now, my question is: Is there a method in R using the anndata package to delete the metadata columns I don't need en masse or at once?
brain2$obs$organism_ontology_term_id <- NULL
will delete that column or whichever I specify. I could probably figure out something with a for loop, but I feel like there must be a way for me to just specify the column names I want to keep and save those while preserving the cell counts. Several methods I have tried have resulted in python errors.This may be due to me missing something w/r/t syntax for subsetting in R, of course.
Thanks for any assistance.
The text was updated successfully, but these errors were encountered: