I'm trying to get this to work on the iris dataset just to test it out. Ultimately, I plan on using this for gene expression and microbial abundances since it's all compositional.
Anyways, I'm trying to test it out on the iris dataset and got the following error:
import anndata as an
from sccoda.util import comp_ana as mod
from sccoda.util import cell_composition_data as dat
from sccoda.util import data_visualization as viz
import sccoda.datasets as scd
# cell_counts = scd.haber()
# FileNotFoundError: [Errno 2] No such file or directory: '/Users/jespinoz/anaconda3/envs/soothsayer_p3.9_env/lib/python3.9/site-packages/sccoda/datasets/haber_counts.csv'
ad_iris = an.read_h5ad("iris.h5ad")
ad_iris
# AnnData object with n_obs × n_vars = 150 × 4
# obs: 'Species'
model = mod.CompositionalAnalysis(ad_iris, formula="C(Species)", reference_cell_type="setosa")
Error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Input In [86], in <module>
11 ad_iris
12 # AnnData object with n_obs × n_vars = 150 × 4
13 # obs: 'Species'
---> 15 model = mod.CompositionalAnalysis(ad_iris, formula="C(Species)", reference_cell_type="setosa")
File ~/anaconda3/envs/soothsayer_p3.9_env/lib/python3.9/site-packages/sccoda/util/comp_ana.py:118, in CompositionalAnalysis.__new__(cls, data, formula, reference_cell_type, automatic_reference_absence_threshold)
108 return dm.scCODAModel(
109 covariate_matrix=np.array(covariate_matrix),
110 data_matrix=data_matrix,
(...)
114 formula=formula,
115 )
117 # Numeric reference cell type
--> 118 elif isinstance(reference_cell_type, int) & (reference_cell_type < len(cell_types)) & (reference_cell_type >= 0):
119 return dm.scCODAModel(
120 covariate_matrix=np.array(covariate_matrix),
121 data_matrix=data_matrix,
(...)
125 formula=formula,
126 )
128 # None of the above: Throw error
129 else:
TypeError: '<' not supported between instances of 'str' and 'int'
I'm trying to get this to work on the iris dataset just to test it out. Ultimately, I plan on using this for gene expression and microbial abundances since it's all compositional.
Anyways, I'm trying to test it out on the iris dataset and got the following error:
Error:
Here's zipped anndata object:
iris.h5ad.zip