Deep Learning Workshop

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