DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.
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TypeError: object of type 'numpy.float64' has no len(): len(self.ascna_based_model.centroids) #23
I recently encountered this error across several CLL samples:
Traceback (most recent call last):
File "/root/deTiN/deTiN/deTiN.py", line 606, in <module>
main()
File "/root/deTiN/deTiN/deTiN.py", line 565, in main
do.calculate_joint_estimate()
File "/root/deTiN/deTiN/deTiN.py", line 266, in calculate_joint_estimate
if len(self.ascna_based_model.centroids) > 1:
TypeError: object of type 'numpy.float64' has no len()
Here is the code that initializes object ascna_based_model:
import deTiN_aSCNA_based_estimate as dascna
ascna_based_model = dascna.model(di.seg_table, di.het_table, di.resolution)
When I checked the centroids parameter for the object it is initialized to numpy array in the init function:
self.centroids = np.zeros([3, 1])
I am not sure where in the code it is reinitialized and hence fails this condition:
I recently encountered this error across several CLL samples:
Here is the code that initializes object ascna_based_model:
When I checked the centroids parameter for the object it is initialized to numpy array in the init function:
I am not sure where in the code it is reinitialized and hence fails this condition: