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Hello, I used the result file JC.raw.input.RI.txt of the latest version of rmats-turbo to run Darts_BHT bayes_infer --rmats-count JC.raw.input.RI.txt --od /path/to/output --annot fromGTF.RI.txt -t RI -c 0.05 --nthread 8.
My samples include 4 control group samples and 4 disease group samples. The result file I got looks like this:
In this file, columns like I1, S1, I2, S2, psi1, and psi2 contain comma-separated values (e.g., 1,9,14,2 represents values for 4 samples). However, I’m not sure if this format is compatible with Darts_DNN predict -i RI.darts_bht.flat.txt -e RBP_max_TPM.txt -o pred.txt -t RI, since it’s giving me the following error:
Darts_DNN predict -i RI.darts_bht.flat.txt -e RBP_max_TPM.txt -o pred.txt -t RI
Using Theano backend.
2024-12-01 22:39:49,311 - Darts_DNN.predict - INFO -
empirical_data=RI.darts_bht.flat.txt
2024-12-01 22:39:49,311 - Darts_DNN.predict - INFO -
model=/path/to/.darts/DNN/v0.1.0/trainedParam/RI-trainedParam-EncodeRoadmap.h5
2024-12-01 22:39:52,493 - Darts_DNN.predict - INFO -
reading cis and trans feaures for type RI
2024-12-01 22:39:52,498 - Darts_DNN.predict - INFO -
read cis-features
2024-12-01 22:39:54,886 - Darts_DNN.predict - INFO -
constructing in-memory feature matrix
Traceback (most recent call last):
File "/path/to/miniconda3/envs/darts/bin/Darts_DNN", line 4, in import('pkg_resources').run_script('Darts-DNN==0.1.0', 'Darts_DNN')
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/pkg_resources/init.py", line 666, in run_script
self.require(requires)[0].run_script(script_name, ns)
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/pkg_resources/init.py", line 1469, in run_script
exec(script_code, namespace, namespace)
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/Darts_DNN-0.1.0-py2.7.egg/EGG-INFO/scripts/Darts_DNN", line 192, in
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/Darts_DNN-0.1.0-py2.7.egg/EGG-INFO/scripts/Darts_DNN", line 44, in main
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/Darts_DNN-0.1.0-py2.7.egg/Darts_DNN/Darts_pred.py", line 103, in parser
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/Darts_DNN-0.1.0-py2.7.egg/Darts_DNN/utils.py", line 305, in construct_training_data_from_label
AssertionError
If the error is related to the comma-separated values for 4 samples, how should I handle this? Should I take the sum or average of the values? Or is this error unrelated to that? I’ve already checked that all my files match the format of the provided test data.I am looking forward to and greatly appreciate your response and assistance.
The text was updated successfully, but these errors were encountered:
Hello, I used the result file JC.raw.input.RI.txt of the latest version of rmats-turbo to run Darts_BHT bayes_infer --rmats-count JC.raw.input.RI.txt --od /path/to/output --annot fromGTF.RI.txt -t RI -c 0.05 --nthread 8.
My samples include 4 control group samples and 4 disease group samples. The result file I got looks like this:
ID I1 S1 I2 S2 inc_len skp_len rho psi1 psi2 mu.mle delta.mle post_pr
chr1:-:1083914:1084383:1083914:1084086:1084352:1084383 1,9,14,2 0,0,2,0 3,8,30,10 0,0,0,0 298 149 0.5 1,1,0.778,1 1,1,1,1 0.9444 0.0556 0.724
In this file, columns like I1, S1, I2, S2, psi1, and psi2 contain comma-separated values (e.g., 1,9,14,2 represents values for 4 samples). However, I’m not sure if this format is compatible with Darts_DNN predict -i RI.darts_bht.flat.txt -e RBP_max_TPM.txt -o pred.txt -t RI, since it’s giving me the following error:
Darts_DNN predict -i RI.darts_bht.flat.txt -e RBP_max_TPM.txt -o pred.txt -t RI
Using Theano backend.
2024-12-01 22:39:49,311 - Darts_DNN.predict - INFO -
empirical_data=RI.darts_bht.flat.txt
2024-12-01 22:39:49,311 - Darts_DNN.predict - INFO -
model=/path/to/.darts/DNN/v0.1.0/trainedParam/RI-trainedParam-EncodeRoadmap.h5
2024-12-01 22:39:52,493 - Darts_DNN.predict - INFO -
reading cis and trans feaures for type RI
2024-12-01 22:39:52,498 - Darts_DNN.predict - INFO -
read cis-features
2024-12-01 22:39:54,886 - Darts_DNN.predict - INFO -
constructing in-memory feature matrix
Traceback (most recent call last):
File "/path/to/miniconda3/envs/darts/bin/Darts_DNN", line 4, in
import('pkg_resources').run_script('Darts-DNN==0.1.0', 'Darts_DNN')
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/pkg_resources/init.py", line 666, in run_script
self.require(requires)[0].run_script(script_name, ns)
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/pkg_resources/init.py", line 1469, in run_script
exec(script_code, namespace, namespace)
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/Darts_DNN-0.1.0-py2.7.egg/EGG-INFO/scripts/Darts_DNN", line 192, in
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/Darts_DNN-0.1.0-py2.7.egg/EGG-INFO/scripts/Darts_DNN", line 44, in main
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/Darts_DNN-0.1.0-py2.7.egg/Darts_DNN/Darts_pred.py", line 103, in parser
File "/path/to/miniconda3/envs/darts/lib/python2.7/site-packages/Darts_DNN-0.1.0-py2.7.egg/Darts_DNN/utils.py", line 305, in construct_training_data_from_label
AssertionError
If the error is related to the comma-separated values for 4 samples, how should I handle this? Should I take the sum or average of the values? Or is this error unrelated to that? I’ve already checked that all my files match the format of the provided test data.I am looking forward to and greatly appreciate your response and assistance.
The text was updated successfully, but these errors were encountered: