def METHOD_NAME(self):
    """Test in-silico mutagenesis returns nonzero output."""
    # Construct and train SequenceDNN model
    sequences = np.array(["ACGTA", "GATAG", "CGCGC"])
    sequences = dc.utils.genomics_utils.seq_one_hot_encode(sequences,
                                                           letters=LETTERS)
    labels = np.array([1, 0, 0])
    labels = np.reshape(labels, (3, 1))
    self.assertEqual(sequences.shape, (3, 4, 5, 1))
    dataset = dc.data.NumpyDataset(sequences, labels)
    model = self.create_model_for_mutagenesis()
    model.fit(dataset, nb_epoch=1)
    # Call in-silico mutagenesis
    mutagenesis_scores = in_silico_mutagenesis(model, sequences)
    self.assertEqual(mutagenesis_scores.shape, (1, 3, 4, 5, 1))
    # Check nonzero elements exist
    assert np.count_nonzero(mutagenesis_scores) > 0