ImportExpressionSignalRunRequest¶
Properties¶
| Name | Type | Description | Notes |
|---|---|---|---|
| source | str | The source parameter is ignored and will be removed in version 1.61. The source is automatically extracted from the link | [optional] |
| metadata_link | str | [optional] | |
| data_link | str | ||
| template_id | str | [optional] | |
| previous_version | str | [optional] | |
| number_of_feature_attributes | int | Integer value that specifies the number of columns related to the feature in the uploaded data frame, and indicates the starting position of the sample data. This attribute is not needed if the uploaded file is in GCT format. | [optional] |
| data_class | str | A mandatory parameter with the following possible values: `Bulk transcriptomics`, `Single-cell transcriptomics`, `Differential abundance (FC, pval, etc.)`, `Pathway analysis`, `Proteomics`, `Single-cell proteomics`, `Metabolomics`, `Lipidomics`, `Epigenomics`, `DNA methylation`, `Chemoinformatics`, `Imaging features`, `Gene panel data`, `Biomarker data`, `Physical measures`, `Blood counts`, `Other body fluid counts`, `Long-read sequencing (Nanopore, PacBio)`, `Flow Cytometry (FCS)`, `Spatial transcriptomics`, `Phenomics`, `Copy number alterations`, `Microbiome / Metagenomics`, `Immune repertoire`, `Genetic screens (CRISPR / RNAi)`, `Cell imaging`, `Document`, `Other`. In case the parameter is not set the dataClass is automatically defined as `Other`. | [optional] |
| measurement_separator | str | This parameter is necessary when your file contains multiple measurement columns for each sample, library, or preparation. It represents the character that distinguishes the sample/library/preparation name from the measurement name in column headers. Supported separators include `. , : ; _ - / \ | `, with the allowance for multi-character separators. |
Example¶
from odm_api.models.import_expression_signal_run_request import ImportExpressionSignalRunRequest
# TODO update the JSON string below
json = "{}"
# create an instance of ImportExpressionSignalRunRequest from a JSON string
import_expression_signal_run_request_instance = ImportExpressionSignalRunRequest.from_json(json)
# print the JSON string representation of the object
print(ImportExpressionSignalRunRequest.to_json())
# convert the object into a dict
import_expression_signal_run_request_dict = import_expression_signal_run_request_instance.to_dict()
# create an instance of ImportExpressionSignalRunRequest from a dict
import_expression_signal_run_request_from_dict = ImportExpressionSignalRunRequest.from_dict(import_expression_signal_run_request_dict)