Mercurial > repos > rnateam > rnacommender
comparison main.py @ 0:d04fa5201f51 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 7ad344d108076116e702e1c1e91cea73d8fcadc4
author | rnateam |
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date | Thu, 28 Jul 2016 05:56:54 -0400 |
parents | |
children | 79c9b4b34b63 |
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-1:000000000000 | 0:d04fa5201f51 |
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1 #!/usr/bin/env python | |
2 """Recommendation.""" | |
3 | |
4 import argparse | |
5 import sys | |
6 from rbpfeatures import RBPVectorizer | |
7 from data import PredictDataset | |
8 from recommend import Predictor | |
9 | |
10 __author__ = "Gianluca Corrado" | |
11 __copyright__ = "Copyright 2016, Gianluca Corrado" | |
12 __license__ = "MIT" | |
13 __maintainer__ = "Gianluca Corrado" | |
14 __email__ = "gianluca.corrado@unitn.it" | |
15 __status__ = "Production" | |
16 | |
17 | |
18 if __name__ == '__main__': | |
19 parser = argparse.ArgumentParser( | |
20 description=__doc__, | |
21 formatter_class=argparse.ArgumentDefaultsHelpFormatter) | |
22 parser.add_argument('fasta', metavar='fasta', type=str, | |
23 help="""Fasta file containing the RBP \ | |
24 sequences.""") | |
25 | |
26 args = parser.parse_args() | |
27 | |
28 v = RBPVectorizer(fasta=args.fasta) | |
29 rbp_fea = v.vectorize() | |
30 | |
31 if rbp_fea is not None: | |
32 # Define and load dataset | |
33 D = PredictDataset( | |
34 fp=rbp_fea, fr="AURA_Human_data/RNA_features/HT_utrs.h5") | |
35 dataset = D.load() | |
36 | |
37 model = "AURA_Human_data/model/trained_model.pkl" | |
38 | |
39 # Define the Trainer and train the model | |
40 P = Predictor(predict_dataset=dataset, | |
41 trained_model=model, | |
42 serendipity_dic=model + '_', | |
43 output="output.txt") | |
44 P.predict() | |
45 else: | |
46 sys.stdout.write(""" | |
47 The queried protein has no domain similarity with the proteins in the training dataset. It cannot be predicted. | |
48 """) |