Esempio n. 1
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    def from_dict(cls, param):
        project_id = param['project_id']
        reference_config = DataSetConfig.from_dict(param['reference_config'])
        target_config = DataSetConfig.from_dict(param['target_config'])
        output_csv_path = param['output_csv_path']
        data_table_list = [MIRNTableConfig.from_dict(item) for item in param['tables']]

        return cls(project_id, reference_config, target_config, data_table_list, output_csv_path)
    def from_dict(cls, param):
        project_id = param['project_id']
        genomic_reference_config = DataSetConfig.from_dict(param['genomic_reference_config'])
        gencode_table = param['gencode_table']
        target_config = DataSetConfig.from_dict(param['target_config'])
        output_csv_path = param['output_csv_path']

        return cls(project_id, genomic_reference_config, gencode_table, target_config,  output_csv_path)
    def from_dict(cls, param):
        project_id = param['project_id']
        reference_config = DataSetConfig.from_dict(param['reference_config'])
        target_config = DataSetConfig.from_dict(param['target_config'])
        data_table = param['methylation_table_name']
        feature_id_prefix = param['methylation_feature_id_prefix']
        annotation_table = param['methylation_annotation_table_name']
        output_csv_path = param['output_csv_path']

        return cls(project_id, reference_config, target_config, data_table, feature_id_prefix, annotation_table, output_csv_path)
Esempio n. 4
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    def from_dict(cls, param):
        project_id = param['project_id']
        target_config = DataSetConfig.from_dict(param['target_config'])
        maf_table_name = param['maf_table_name']
        output_csv_path = param['output_csv_path']

        return cls(project_id, target_config, maf_table_name, output_csv_path)
Esempio n. 5
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    def from_dict(cls, param):
        project_id = param["project_id"]
        target_config = DataSetConfig.from_dict(param["target_config"])
        table_name = param["rppa_table_name"]
        output_csv_path = param["output_csv_path"]

        return cls(project_id, target_config, table_name, output_csv_path)
Esempio n. 6
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    def from_dict(cls, param):
        reference_config = DataSetConfig.from_dict(param['reference_config'])
        supported_genomic_builds = param['supported_genomic_builds']
        data_table_list = [
            GEXPTableConfig.from_dict(item) for item in param['tables']
        ]

        return cls(reference_config, supported_genomic_builds, data_table_list)