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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 31 new columns ({'study_id', 'source_tumor', 'center_id', 'tumor_stage', 'AE_type', 'sex', 'sample_id', 'time_point', 'cancer_stage', 'AE_severity', 'disease', 'cohort', 'center_name', 'tumor_type', 'AE', 'OS', 'metacohort_id', 'source_icd10', 'source_type', 'therapy', 'race', 'age', 'PFS', 'total_reads', 'therapy_info', 'response_type', 'cancer_type', 'PFS_event', 'OS_event', 'response', 'aligned_reads'}) and 7 missing columns ({'HLA-C_1', 'HLA-A_1', 'HLA-B_2', 'HLA-B_1', 'HLA-A_2', 'HLA-C_2', 'hla_source'}).
This happened while the csv dataset builder was generating data using
hf://datasets/isalgo/airr_tcga/metadata.tsv (at revision b1081f7074640defc861bb6f2e94a11151f95088), ['hf://datasets/isalgo/airr_tcga@b1081f7074640defc861bb6f2e94a11151f95088/metadata.hla.tsv', 'hf://datasets/isalgo/airr_tcga@b1081f7074640defc861bb6f2e94a11151f95088/metadata.tsv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
sample_id: string
subject_id: string
study_id: string
cohort: string
cancer_type: string
disease: string
tumor_type: string
source_type: string
source_tumor: string
source_icd10: string
sex: string
race: string
age: double
cancer_stage: string
tumor_stage: string
therapy: string
therapy_info: double
time_point: double
response: double
response_type: double
OS: double
OS_event: int64
PFS: string
PFS_event: double
AE: double
AE_type: double
AE_severity: double
total_reads: double
aligned_reads: double
center_id: string
center_name: string
metacohort_id: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4045
to
{'subject_id': Value('string'), 'HLA-A_1': Value('string'), 'HLA-A_2': Value('string'), 'HLA-B_1': Value('string'), 'HLA-B_2': Value('string'), 'HLA-C_1': Value('string'), 'HLA-C_2': Value('string'), 'hla_source': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 31 new columns ({'study_id', 'source_tumor', 'center_id', 'tumor_stage', 'AE_type', 'sex', 'sample_id', 'time_point', 'cancer_stage', 'AE_severity', 'disease', 'cohort', 'center_name', 'tumor_type', 'AE', 'OS', 'metacohort_id', 'source_icd10', 'source_type', 'therapy', 'race', 'age', 'PFS', 'total_reads', 'therapy_info', 'response_type', 'cancer_type', 'PFS_event', 'OS_event', 'response', 'aligned_reads'}) and 7 missing columns ({'HLA-C_1', 'HLA-A_1', 'HLA-B_2', 'HLA-B_1', 'HLA-A_2', 'HLA-C_2', 'hla_source'}).
This happened while the csv dataset builder was generating data using
hf://datasets/isalgo/airr_tcga/metadata.tsv (at revision b1081f7074640defc861bb6f2e94a11151f95088), ['hf://datasets/isalgo/airr_tcga@b1081f7074640defc861bb6f2e94a11151f95088/metadata.hla.tsv', 'hf://datasets/isalgo/airr_tcga@b1081f7074640defc861bb6f2e94a11151f95088/metadata.tsv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
subject_id string | HLA-A_1 string | HLA-A_2 string | HLA-B_1 string | HLA-B_2 string | HLA-C_1 string | HLA-C_2 string | hla_source string |
|---|---|---|---|---|---|---|---|
TCGA-02-0047 | HLA-A*02:01 | HLA-A*32:01 | HLA-B*15:01 | HLA-B*15:01 | HLA-C*03:03 | HLA-C*03:03 | panimmune |
TCGA-02-0055 | HLA-A*31:01 | HLA-A*11:01 | HLA-B*51:01 | HLA-B*55:01 | HLA-C*15:02 | HLA-C*03:03 | panimmune |
TCGA-02-2483 | HLA-A*11:01 | HLA-A*03:01 | HLA-B*07:02 | HLA-B*52:01 | HLA-C*07:02 | HLA-C*12:02 | panimmune |
TCGA-02-2485 | HLA-A*29:02 | HLA-A*03:01 | HLA-B*44:04 | HLA-B*49:01 | HLA-C*07:01 | HLA-C*16:01 | panimmune |
TCGA-02-2486 | HLA-A*03:01 | HLA-A*03:01 | HLA-B*07:02 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*07:02 | panimmune |
TCGA-04-1331 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*44:03 | HLA-B*57:01 | HLA-C*06:02 | HLA-C*16:01 | panimmune |
TCGA-04-1332 | HLA-A*03:01 | HLA-A*11:01 | HLA-B*35:01 | HLA-B*07:02 | HLA-C*04:01 | HLA-C*07:02 | panimmune |
TCGA-04-1338 | HLA-A*24:02 | HLA-A*26:01 | HLA-B*07:02 | HLA-B*38:01 | HLA-C*12:03 | HLA-C*07:02 | panimmune |
TCGA-04-1341 | HLA-A*03:01 | HLA-A*24:02 | HLA-B*35:01 | HLA-B*44:05 | HLA-C*02:02 | HLA-C*04:01 | panimmune |
TCGA-04-1343 | HLA-A*02:01 | HLA-A*03:01 | HLA-B*07:02 | HLA-B*18:01 | HLA-C*07:02 | HLA-C*05:01 | panimmune |
TCGA-04-1347 | HLA-A*01:01 | HLA-A*02:01 | HLA-B*44:02 | HLA-B*14:01 | HLA-C*05:01 | HLA-C*08:02 | panimmune |
TCGA-04-1350 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*44:02 | HLA-B*08:01 | HLA-C*07:01 | HLA-C*07:01 | panimmune |
TCGA-04-1356 | HLA-A*31:01 | HLA-A*03:01 | HLA-B*51:01 | HLA-B*51:01 | HLA-C*16:01 | HLA-C*15:02 | panimmune |
TCGA-04-1357 | HLA-A*24:02 | HLA-A*03:01 | HLA-B*39:01 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*12:03 | panimmune |
TCGA-04-1361 | HLA-A*02:01 | HLA-A*03:01 | HLA-B*08:01 | HLA-B*38:01 | HLA-C*07:01 | HLA-C*12:03 | panimmune |
TCGA-04-1362 | HLA-A*02:01 | HLA-A*68:01 | HLA-B*44:02 | HLA-B*18:01 | HLA-C*12:03 | HLA-C*07:04 | panimmune |
TCGA-04-1364 | HLA-A*03:01 | HLA-A*33:05 | HLA-B*14:02 | HLA-B*07:02 | HLA-C*08:02 | HLA-C*07:02 | panimmune |
TCGA-04-1365 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*08:01 | HLA-C*07:01 | HLA-C*07:01 | panimmune |
TCGA-04-1514 | HLA-A*02:01 | HLA-A*02:01 | HLA-B*44:03 | HLA-B*07:02 | HLA-C*16:01 | HLA-C*07:02 | panimmune |
TCGA-04-1519 | HLA-A*68:01 | HLA-A*26:01 | HLA-B*40:01 | HLA-B*38:01 | HLA-C*03:04 | HLA-C*12:03 | panimmune |
TCGA-04-1530 | HLA-A*31:01 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*27:05 | HLA-C*01:02 | HLA-C*07:01 | panimmune |
TCGA-04-1536 | HLA-A*24:02 | HLA-A*11:01 | HLA-B*57:01 | HLA-B*48:01 | HLA-C*06:02 | HLA-C*08:01 | panimmune |
TCGA-04-1542 | HLA-A*31:01 | HLA-A*03:01 | HLA-B*44:02 | HLA-B*08:01 | HLA-C*07:01 | HLA-C*05:01 | panimmune |
TCGA-04-1648 | HLA-A*31:02 | HLA-A*02:01 | HLA-B*51:01 | HLA-B*18:01 | HLA-C*05:01 | HLA-C*15:02 | panimmune |
TCGA-04-1651 | HLA-A*01:01 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*35:01 | HLA-C*04:01 | HLA-C*07:01 | panimmune |
TCGA-04-1655 | HLA-A*02:01 | HLA-A*11:01 | HLA-B*40:02 | HLA-B*40:02 | HLA-C*02:02 | HLA-C*15:02 | panimmune |
TCGA-05-4244 | HLA-A*02:02 | HLA-A*01:01 | HLA-B*41:01 | HLA-B*52:01 | HLA-C*17:01 | HLA-C*12:02 | panimmune |
TCGA-05-4249 | HLA-A*30:01 | HLA-A*32:01 | HLA-B*15:01 | HLA-B*55:01 | HLA-C*03:03 | HLA-C*03:03 | panimmune |
TCGA-05-4250 | HLA-A*11:01 | HLA-A*01:01 | HLA-B*57:01 | HLA-B*45:01 | HLA-C*06:02 | HLA-C*06:02 | panimmune |
TCGA-05-4382 | HLA-A*11:01 | HLA-A*02:01 | HLA-B*07:02 | HLA-B*44:02 | HLA-C*07:04 | HLA-C*07:02 | panimmune |
TCGA-05-4384 | HLA-A*23:01 | HLA-A*02:01 | HLA-B*39:06 | HLA-B*37:01 | HLA-C*06:02 | HLA-C*12:03 | panimmune |
TCGA-05-4389 | HLA-A*02:01 | HLA-A*32:01 | HLA-B*44:03 | HLA-B*15:01 | HLA-C*16:01 | HLA-C*03:04 | panimmune |
TCGA-05-4390 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*07:01 | panimmune |
TCGA-05-4395 | HLA-A*02:01 | HLA-A*03:01 | HLA-B*51:01 | HLA-B*35:01 | HLA-C*04:01 | HLA-C*01:02 | panimmune |
TCGA-05-4396 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*40:01 | HLA-C*07:01 | HLA-C*03:04 | panimmune |
TCGA-05-4397 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*40:01 | HLA-C*07:01 | HLA-C*03:04 | panimmune |
TCGA-05-4398 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*27:05 | HLA-B*44:02 | HLA-C*06:02 | HLA-C*02:02 | panimmune |
TCGA-05-4402 | HLA-A*02:01 | HLA-A*29:02 | HLA-B*39:01 | HLA-B*44:03 | HLA-C*07:02 | HLA-C*16:01 | panimmune |
TCGA-05-4403 | HLA-A*30:02 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*18:01 | HLA-C*07:01 | HLA-C*05:01 | panimmune |
TCGA-05-4405 | HLA-A*68:01 | HLA-A*03:01 | HLA-B*35:01 | HLA-B*51:01 | HLA-C*04:01 | HLA-C*15:02 | panimmune |
TCGA-05-4410 | HLA-A*24:02 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*08:01 | HLA-C*07:01 | HLA-C*07:01 | panimmune |
TCGA-05-4415 | HLA-A*26:08 | HLA-A*02:01 | HLA-B*27:02 | HLA-B*44:02 | HLA-C*05:01 | HLA-C*02:02 | panimmune |
TCGA-05-4417 | HLA-A*31:01 | HLA-A*26:01 | HLA-B*39:01 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*12:03 | panimmune |
TCGA-05-4418 | HLA-A*01:01 | HLA-A*32:01 | HLA-B*39:06 | HLA-B*37:01 | HLA-C*07:02 | HLA-C*06:02 | panimmune |
TCGA-05-4420 | HLA-A*01:01 | HLA-A*03:01 | HLA-B*07:02 | HLA-B*57:01 | HLA-C*07:02 | HLA-C*06:02 | panimmune |
TCGA-05-4422 | HLA-A*24:02 | HLA-A*25:01 | HLA-B*18:01 | HLA-B*15:01 | HLA-C*03:03 | HLA-C*12:03 | panimmune |
TCGA-05-4424 | HLA-A*24:02 | HLA-A*02:01 | HLA-B*44:02 | HLA-B*15:01 | HLA-C*05:01 | HLA-C*03:03 | panimmune |
TCGA-05-4425 | HLA-A*24:02 | HLA-A*03:01 | HLA-B*07:02 | HLA-B*44:02 | HLA-C*07:02 | HLA-C*05:01 | panimmune |
TCGA-05-4426 | HLA-A*11:01 | HLA-A*03:01 | HLA-B*14:02 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*08:02 | panimmune |
TCGA-05-4427 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*35:01 | HLA-B*15:01 | HLA-C*04:01 | HLA-C*03:04 | panimmune |
TCGA-05-4430 | HLA-A*68:01 | HLA-A*33:01 | HLA-B*14:02 | HLA-B*27:05 | HLA-C*08:02 | HLA-C*01:02 | panimmune |
TCGA-05-4432 | HLA-A*24:02 | HLA-A*25:01 | HLA-B*15:01 | HLA-B*18:01 | HLA-C*03:03 | HLA-C*12:03 | panimmune |
TCGA-05-4433 | HLA-A*02:01 | HLA-A*03:01 | HLA-B*40:01 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*03:04 | panimmune |
TCGA-05-4434 | HLA-A*01:01 | HLA-A*03:01 | HLA-B*14:02 | HLA-B*35:01 | HLA-C*04:01 | HLA-C*08:02 | panimmune |
TCGA-05-5420 | HLA-A*01:01 | HLA-A*03:01 | HLA-B*08:01 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*07:01 | panimmune |
TCGA-05-5423 | HLA-A*29:02 | HLA-A*02:01 | HLA-B*07:02 | HLA-B*44:03 | HLA-C*07:02 | HLA-C*16:01 | panimmune |
TCGA-05-5425 | HLA-A*24:02 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*14:02 | HLA-C*07:01 | HLA-C*08:02 | panimmune |
TCGA-05-5428 | HLA-A*24:02 | HLA-A*23:01 | HLA-B*51:01 | HLA-B*44:03 | HLA-C*03:03 | HLA-C*04:01 | panimmune |
TCGA-05-5429 | HLA-A*23:01 | HLA-A*02:01 | HLA-B*07:02 | HLA-B*44:03 | HLA-C*07:02 | HLA-C*04:01 | panimmune |
TCGA-05-5715 | HLA-A*24:02 | HLA-A*01:01 | HLA-B*15:01 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*06:02 | panimmune |
TCGA-06-0125 | HLA-A*11:01 | HLA-A*25:01 | HLA-B*52:01 | HLA-B*40:02 | HLA-C*12:02 | HLA-C*02:02 | panimmune |
TCGA-06-0129 | HLA-A*01:01 | HLA-A*24:02 | HLA-B*08:01 | HLA-B*52:01 | HLA-C*07:01 | HLA-C*12:02 | panimmune |
TCGA-06-0130 | HLA-A*02:01 | HLA-A*25:01 | HLA-B*08:01 | HLA-B*18:01 | HLA-C*07:01 | HLA-C*12:03 | panimmune |
TCGA-06-0132 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*49:01 | HLA-C*07:01 | HLA-C*07:01 | panimmune |
TCGA-06-0138 | HLA-A*02:01 | HLA-A*01:01 | HLA-B*49:01 | HLA-B*35:01 | HLA-C*07:01 | HLA-C*04:01 | panimmune |
TCGA-06-0139 | HLA-A*02:01 | HLA-A*02:01 | HLA-B*07:02 | HLA-B*51:08 | HLA-C*07:02 | HLA-C*16:02 | panimmune |
TCGA-06-0141 | HLA-A*31:01 | HLA-A*03:01 | HLA-B*40:01 | HLA-B*18:01 | HLA-C*07:01 | HLA-C*03:04 | panimmune |
TCGA-06-0152 | HLA-A*01:01 | HLA-A*03:01 | HLA-B*08:01 | HLA-B*57:01 | HLA-C*07:01 | HLA-C*06:02 | optitype |
TCGA-06-0156 | HLA-A*68:02 | HLA-A*02:01 | HLA-B*14:02 | HLA-B*15:01 | HLA-C*03:04 | HLA-C*08:02 | panimmune |
TCGA-06-0157 | HLA-A*02:01 | HLA-A*03:01 | HLA-B*35:01 | HLA-B*44:02 | HLA-C*05:01 | HLA-C*02:02 | panimmune |
TCGA-06-0158 | HLA-A*29:01 | HLA-A*26:01 | HLA-B*38:01 | HLA-B*57:01 | HLA-C*07:01 | HLA-C*12:03 | panimmune |
TCGA-06-0168 | HLA-A*30:01 | HLA-A*03:01 | HLA-B*44:03 | HLA-B*35:01 | HLA-C*04:01 | HLA-C*04:01 | panimmune |
TCGA-06-0174 | HLA-A*02:01 | HLA-A*02:01 | HLA-B*40:01 | HLA-B*27:05 | HLA-C*03:04 | HLA-C*02:02 | panimmune |
TCGA-06-0178 | HLA-A*30:02 | HLA-A*29:02 | HLA-B*44:03 | HLA-B*40:01 | HLA-C*03:04 | HLA-C*16:01 | panimmune |
TCGA-06-0184 | HLA-A*24:02 | HLA-A*26:01 | HLA-B*35:01 | HLA-B*38:01 | HLA-C*04:01 | HLA-C*12:03 | panimmune |
TCGA-06-0187 | HLA-A*11:01 | HLA-A*02:01 | HLA-B*50:01 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*06:02 | panimmune |
TCGA-06-0190 | HLA-A*11:01 | HLA-A*01:01 | HLA-B*08:01 | HLA-B*44:02 | HLA-C*07:01 | HLA-C*05:01 | panimmune |
TCGA-06-0210 | HLA-A*24:02 | HLA-A*03:01 | HLA-B*38:01 | HLA-B*27:02 | HLA-C*12:03 | HLA-C*02:02 | panimmune |
TCGA-06-0211 | HLA-A*68:01 | HLA-A*24:02 | HLA-B*35:03 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*04:01 | panimmune |
TCGA-06-0219 | HLA-A*02:01 | HLA-A*02:01 | HLA-B*35:02 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*04:01 | panimmune |
TCGA-06-0221 | HLA-A*33:01 | HLA-A*66:01 | HLA-B*14:02 | HLA-B*38:01 | HLA-C*12:03 | HLA-C*08:02 | optitype |
TCGA-06-0238 | HLA-A*01:01 | HLA-A*32:01 | HLA-B*40:01 | HLA-B*57:01 | HLA-C*03:04 | HLA-C*06:02 | panimmune |
TCGA-06-0644 | HLA-A*68:01 | HLA-A*02:01 | HLA-B*44:02 | HLA-B*58:02 | HLA-C*06:02 | HLA-C*05:01 | panimmune |
TCGA-06-0645 | HLA-A*02:01 | HLA-A*03:01 | HLA-B*40:02 | HLA-B*15:01 | HLA-C*03:03 | HLA-C*02:02 | panimmune |
TCGA-06-0646 | HLA-A*30:02 | HLA-A*02:01 | HLA-B*18:01 | HLA-B*18:01 | HLA-C*07:01 | HLA-C*05:01 | panimmune |
TCGA-06-0649 | HLA-A*68:01 | HLA-A*02:02 | HLA-B*53:01 | HLA-B*52:01 | HLA-C*06:02 | HLA-C*16:01 | panimmune |
TCGA-06-0686 | HLA-A*02:01 | HLA-A*02:01 | HLA-B*40:01 | HLA-B*15:01 | HLA-C*03:67 | HLA-C*03:04 | panimmune |
TCGA-06-0743 | HLA-A*01:01 | HLA-A*24:02 | HLA-B*15:01 | HLA-B*57:01 | HLA-C*01:02 | HLA-C*06:02 | panimmune |
TCGA-06-0744 | HLA-A*11:01 | HLA-A*02:01 | HLA-B*15:17 | HLA-B*27:05 | HLA-C*07:01 | HLA-C*01:02 | panimmune |
TCGA-06-0745 | HLA-A*29:01 | HLA-A*24:02 | HLA-B*38:01 | HLA-B*51:08 | HLA-C*16:02 | HLA-C*12:03 | panimmune |
TCGA-06-0747 | HLA-A*01:01 | HLA-A*01:01 | HLA-B*40:02 | HLA-B*39:01 | HLA-C*02:02 | HLA-C*02:02 | panimmune |
TCGA-06-0749 | HLA-A*68:02 | HLA-A*25:01 | HLA-B*39:01 | HLA-B*50:01 | HLA-C*06:02 | HLA-C*12:03 | panimmune |
TCGA-06-0750 | HLA-A*11:01 | HLA-A*33:01 | HLA-B*35:01 | HLA-B*44:03 | HLA-C*04:01 | HLA-C*04:01 | panimmune |
TCGA-06-0878 | HLA-A*68:01 | HLA-A*02:01 | HLA-B*40:01 | HLA-B*07:02 | HLA-C*07:02 | HLA-C*03:04 | panimmune |
TCGA-06-0882 | HLA-A*01:01 | HLA-A*03:01 | HLA-B*08:01 | HLA-B*35:01 | HLA-C*07:01 | HLA-C*04:01 | panimmune |
TCGA-06-1804 | HLA-A*33:01 | HLA-A*32:01 | HLA-B*08:01 | HLA-B*39:01 | HLA-C*12:03 | HLA-C*07:01 | panimmune |
TCGA-06-2557 | HLA-A*31:01 | HLA-A*68:01 | HLA-B*15:04 | HLA-B*44:03 | HLA-C*18:01 | HLA-C*03:03 | panimmune |
TCGA-06-2558 | HLA-A*32:01 | HLA-A*03:01 | HLA-B*08:01 | HLA-B*35:03 | HLA-C*07:02 | HLA-C*12:03 | panimmune |
TCGA-06-2559 | HLA-A*11:01 | HLA-A*03:02 | HLA-B*52:01 | HLA-B*44:02 | HLA-C*12:02 | HLA-C*16:04 | panimmune |
TCGA-06-2561 | HLA-A*24:07 | HLA-A*23:01 | HLA-B*07:02 | HLA-B*15:02 | HLA-C*08:01 | HLA-C*07:02 | panimmune |
End of preview.