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res = {n_est:score_func(n_est) for n_est in range(50, 401, 50)}
# Alternatively
res = {}
for i in range(1,9):
results[50*i] = get_score(50*i)
import anndata as ad
sum_dict = {gene: 'sum' for gene in adata_replicate.var_names}
# The 'sum' specifies the aggregation method to compute the sum of gene expression values when aggregating data for each gene within the adata_replicate