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author | Alexander Kabui | 2021-05-12 19:49:55 +0300 |
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committer | Alexander Kabui | 2021-05-12 19:49:55 +0300 |
commit | f88a2c3161c71d58c91c3030bd303a86846c5a73 (patch) | |
tree | feeb4baeb516877a75358368c53fe8ad5624b286 /tests/unit | |
parent | beccacde5c9c7317bfe795e5c8c4ebe033f39f89 (diff) | |
download | genenetwork3-f88a2c3161c71d58c91c3030bd303a86846c5a73.tar.gz |
rename tissue_correlation_for_trait_list with tissue_correlation_for_trait
Diffstat (limited to 'tests/unit')
-rw-r--r-- | tests/unit/computations/test_correlation.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tests/unit/computations/test_correlation.py b/tests/unit/computations/test_correlation.py index 42ab796..e6bc280 100644 --- a/tests/unit/computations/test_correlation.py +++ b/tests/unit/computations/test_correlation.py @@ -11,7 +11,7 @@ from gn3.computations.correlations import compute_sample_r_correlation from gn3.computations.correlations import compute_all_sample_correlation from gn3.computations.correlations import filter_shared_sample_keys from gn3.computations.correlations import tissue_lit_corr_for_probe_type -from gn3.computations.correlations import tissue_correlation_for_trait_list +from gn3.computations.correlations import tissue_correlation_for_trait from gn3.computations.correlations import lit_correlation_for_trait_list from gn3.computations.correlations import fetch_lit_correlation_data from gn3.computations.correlations import query_formatter @@ -227,7 +227,7 @@ class TestCorrelation(TestCase): self.assertEqual(results, (None, None)) @mock.patch("gn3.computations.correlations.compute_corr_coeff_p_value") - def test_tissue_correlation_for_trait_list(self, mock_compute_corr_coeff): + def test_tissue_correlation_for_trait(self, mock_compute_corr_coeff): """Test given a primary tissue values for a trait and and a list of\ target tissues for traits do the tissue correlation for them """ @@ -237,7 +237,7 @@ class TestCorrelation(TestCase): mock_compute_corr_coeff.side_effect = [(0.4, 0.9), (-0.2, 0.91)] expected_tissue_results = {"1456_at": {"tissue_corr": 0.4, "tissue_p_val": 0.9, "tissue_number": 3}} - tissue_results = tissue_correlation_for_trait_list( + tissue_results = tissue_correlation_for_trait( primary_tissue_values, target_tissues_values, corr_method="pearson", trait_id="1456_at", compute_corr_p_value=mock_compute_corr_coeff) @@ -395,7 +395,7 @@ class TestCorrelation(TestCase): self.assertEqual(lit_correlation_results, expected_mocked_lit_results) - @mock.patch("gn3.computations.correlations.tissue_correlation_for_trait_list") + @mock.patch("gn3.computations.correlations.tissue_correlation_for_trait") @mock.patch("gn3.computations.correlations.process_trait_symbol_dict") def test_compute_all_tissue_correlation(self, process_trait_symbol, mock_tissue_corr): """Test for compute all tissue corelation which abstracts |