Natural sciences | University of Oslo

Data used in the article "Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification"

All the input data required for simulating the immune state-associated signal and subsequent machine learning model training used in the article "Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification"

Chakravarthi KanduriDOI : 10.11582/2021.00064License: Creative Commons Attribution 4.0

936.9 GBBiota

BioinformaticsImmunology

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Descriptive

Field	Value
Theme	Biota
Subjects	Natural sciences
Type	dataset
Language	English
Status	COMPLETE
Projects
Dataset Size (MB)	936914.958312
State	active
Last Modified	2025-07-27T05:17:37

Identifiers

Field	Value
Identifier	6076204d-b897-45d0-a733-43d9909f318f
Other Identifier/DOI	10.11582/2021.00064

Personnel (first name, last name, organisation, email)

Field	Value
Contact points	Contact point 1 Type person First name Chakravarthi Last name Kanduri Organisation University of Oslo Email skanduri@uio.no ORCID Name Acronym Contact email Homepage URL ROR
Creators	Creator 1 Type person First name Chakravarthi Last name Kanduri Organisation University of Oslo Email skanduri@uio.no ORCID Name Acronym Contact email Homepage URL ROR
Contributors	Contributor 1 First name Chakravarthi Last name Kanduri Organisation University of Oslo Email skanduri@uio.no ORCID Type Related Person
Dataset owner	Owner 1 Organisation University of Oslo ROR 01xtthb56
Publisher	NIRD RDA

Constraints

Field	Value
License	CC-BY-4.0
Access Rights	public

Extent

Field	Value
Spatial
Temporal

Reference Dates

Field	Value
Release date	2021-07-16

Field

Value

Release date

2021-07-16

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