PredictionSet.md

PredictionSet

A file set of computational predictions. Prediction sets contain results of analyses to predict functions or traits of genomic features.

Properties

Name	Type	Description	Notes
input_file_sets	List[str]	The file set(s) required for this prediction set.	[optional]
small_scale_loci_list	List[object]	A small scale (<=100) list of specific chromosomal region(s).	[optional]
large_scale_loci_list	str	A large scale list (>100) of specific chromosomal regions.	[optional]
small_scale_gene_list	List[str]	The specific, small scale list of (<=100) gene(s) this prediction set targets.	[optional]
large_scale_gene_list	str	The large scale list of (>100 genes) this this prediction set targets.	[optional]
release_timestamp	str	The date the object was released.	[optional]
publication_identifiers	List[str]	The publication identifiers that provide more information about the object.	[optional]
documents	List[str]	Documents that provide additional information (not data file).	[optional]
lab	str	Lab associated with the submission.	[optional]
award	str	Grant associated with the submission.	[optional]
accession	str	A unique identifier to be used to reference the object prefixed with PKB.	[optional]
alternate_accessions	List[str]	Accessions previously assigned to objects that have been merged with this object.	[optional]
collections	List[str]	Some samples are part of particular data collections.	[optional]
status	str	The status of the metadata object.	[optional]
revoke_detail	str	Explanation of why an object was transitioned to the revoked status.	[optional]
url	str	An external resource with additional information.	[optional]
schema_version	str	The version of the JSON schema that the server uses to validate the object.	[optional]
uuid	str	The unique identifier associated with every object.	[optional]
notes	str	DACC internal notes.	[optional]
aliases	List[str]	Lab specific identifiers to reference an object.	[optional]
creation_timestamp	str	The date the object was created.	[optional]
submitted_by	str	The user who submitted the object.	[optional]
submitter_comment	str	Additional information specified by the submitter to be displayed as a comment on the portal.	[optional]
description	str	A plain text description of the object.	[optional]
dbxrefs	List[str]	Identifiers from external resources that may have 1-to-1 or 1-to-many relationships with IGVF file sets.	[optional]
samples	List[str]	The sample(s) associated with this file set.	[optional]
donors	List[str]	The donor(s) associated with this file set.	[optional]
file_set_type	str	The category that best describes this prediction set.	[optional]
scope	str	The scope or scale that this prediction set is designed to target. If the scope is across gene(s) or loci, these will need to be specified in the genes or loci property.	[optional]
id	str		[optional]
type	List[str]		[optional]
summary	str	A summary of the object.	[optional]
files	List[str]	The files associated with this file set.	[optional]
control_for	List[str]	The file sets for which this file set is a control.	[optional]
submitted_files_timestamp	str	The timestamp the first file object in the file_set or associated auxiliary sets was created.	[optional]
input_file_set_for	List[str]	The file sets that use this file set as an input.	[optional]

Example

from igvf_client.models.prediction_set import PredictionSet

# TODO update the JSON string below
json = "{}"
# create an instance of PredictionSet from a JSON string
prediction_set_instance = PredictionSet.from_json(json)
# print the JSON string representation of the object
print(PredictionSet.to_json())

# convert the object into a dict
prediction_set_dict = prediction_set_instance.to_dict()
# create an instance of PredictionSet from a dict
prediction_set_from_dict = PredictionSet.from_dict(prediction_set_dict)

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