Carlos-Francisco Méndez-Cruz

Deep Learning Workshop

...@@ -90,12 +90,13 @@ if __name__ == "__main__": ...@@ -90,12 +90,13 @@ if __name__ == "__main__":
90 max_length = max_exon_length 90 max_length = max_exon_length
91 else: 91 else:
92 max_length = max_utr_length 92 max_length = max_utr_length
93 + print("Max length: {}".format(max_length))
93 94
94 # Fill sequence with X char to get max length 95 # Fill sequence with X char to get max length
95 # One-hot-encoding of sequences 96 # One-hot-encoding of sequences
96 for sequence, label in zip(sequences, labels): 97 for sequence, label in zip(sequences, labels):
97 if len(sequence) < max_length: 98 if len(sequence) < max_length:
98 - sequence_adjust = sequence.ljust(max_length + len(sequence), 'X') 99 + sequence_adjust = sequence.ljust(max_length - len(sequence), 'X')
99 print("Length sequence_adjust: {}".format(len(sequence_adjust))) 100 print("Length sequence_adjust: {}".format(len(sequence_adjust)))
100 integer_encoded = integer_encoder.fit_transform(list(sequence_adjust)) 101 integer_encoded = integer_encoder.fit_transform(list(sequence_adjust))
101 integer_encoded = np.array(integer_encoded).reshape(-1, 1) 102 integer_encoded = np.array(integer_encoded).reshape(-1, 1)
......