sub:assertion {
<
http://eurovoc.europa.eu/2919> <
http://schema.org/description> "" ;
<
http://schema.org/name> "Environmental research" ;
a <
http://schema.org/DefinedTerm> .
<
http://eurovoc.europa.eu/3941> <
http://schema.org/description> "" ;
<
http://schema.org/name> "Life sciences" ;
a <
http://schema.org/DefinedTerm> .
<
http://eurovoc.europa.eu/3946> <
http://schema.org/description> "" ;
<
http://schema.org/name> "Physical sciences" ;
a <
http://schema.org/DefinedTerm> .
<
http://w3id.org/ro-id/rohub/model#subject/-1038351181>
a <
https://w3id.org/contentdesc#Expression> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "baseline performance" .
<
http://w3id.org/ro-id/rohub/model#subject/100002570>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "machine learning" .
<
http://w3id.org/ro-id/rohub/model#subject/100042879>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "data" .
<
http://w3id.org/ro-id/rohub/model#subject/100191098>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "article" .
<
http://w3id.org/ro-id/rohub/model#subject/100208498>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "receptor" .
<
http://w3id.org/ro-id/rohub/model#subject/100810278>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "baseline" .
<
http://w3id.org/ro-id/rohub/model#subject/100918416>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "training" .
<
http://w3id.org/ro-id/rohub/model#subject/101744659>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "category" .
<
http://w3id.org/ro-id/rohub/model#subject/103643208>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "implementation" .
<
http://w3id.org/ro-id/rohub/model#subject/155156>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "repertory" .
<
http://w3id.org/ro-id/rohub/model#subject/2028277143>
a <
https://w3id.org/contentdesc#Expression> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "model training" .
<
http://w3id.org/ro-id/rohub/model#subject/2052885613>
a <
https://w3id.org/contentdesc#Expression> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "machine learning model" .
<
http://w3id.org/ro-id/rohub/model#subject/29992>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "input file" .
<
http://w3id.org/ro-id/rohub/model#subject/59446>
a <
https://w3id.org/contentdesc#Concept> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "limit" .
<
http://w3id.org/ro-id/rohub/model#subject/747853685>
a <
https://w3id.org/contentdesc#Expression> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "repertoire classification" .
<
http://w3id.org/ro-id/rohub/model#subject/927372996>
a <
https://w3id.org/contentdesc#Expression> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "subsequent machine learning" .
<
http://w3id.org/ro-id/rohub/model#subject/969116140>
a <
https://w3id.org/contentdesc#Domain> ;
<
http://www.w3.org/2004/02/skos/core#prefLabel> "journalism" .
<
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/#enrichment_service-account-enrichment> <
http://schema.org/name> "service-account-enrichment" ;
a <
http://xmlns.com/foaf/0.1/Agent> .
<
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/> <
http://schema.org/about> <
http://eurovoc.europa.eu/2919> , <
http://eurovoc.europa.eu/3941> , <
http://eurovoc.europa.eu/3946> ;
<
http://schema.org/author> <
mailto:chakravarthi.kanduri@rohub.com> ;
<
http://schema.org/contentSize> 8418 ;
<
http://schema.org/contentUrl> "https://api.rohub.org/api/ros/54524973-c104-4f19-aa26-b5986dadbd00/crate/download/" ;
<
http://schema.org/creator> <
mailto:georgehadib@gmail.com> ;
<
http://schema.org/dateCreated> "2022-03-22 01:00:27.959882+00:00" ;
<
http://schema.org/dateModified> "2025-03-05 00:50:09.143568+00:00" ;
<
http://schema.org/datePublished> "2022-03-22 01:00:27.959882+00:00" ;
<
http://schema.org/description> "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\"" ;
<
http://schema.org/encodingFormat> "application/ld+json" ;
<
http://schema.org/hasPart> <
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/folders/294fc6ed-ef31-4840-b16b-2b353524a762> , <
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/folders/40dd6a60-4a65-49cc-b9c6-1a38c2f52828> , <
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/folders/99d3170c-f84c-483b-9829-e4ed8923425b> , <
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/folders/fac8ebb0-c06a-4723-9cf9-f4df3cf613b6> ;
<
http://schema.org/identifier> "https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00" ;
<
http://schema.org/license> <
https://choosealicense.com/no-permission/> ;
<
http://schema.org/name> "Data used in the article \"Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification\"" ;
<
http://w3id.org/ro-id/rohub/model#creation_mode> "MANUAL" ;
a <
http://purl.org/wf4ever/ro#ResearchObject> , <
http://purl.org/wf4ever/roevo#LiveRO> , <
http://schema.org/Dataset> , <
http://w3id.org/ro/earth-science#DataResearchObject> , <
https://w3id.org/ro/terms/earth-science#DataResearchObject> ;
<
https://www.w3.org/ns/iana/link-relations/relation#cite-as> "Chakravarthi Kanduri. \"Data used in the article \"Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification\".\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00." .
<
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/folders/294fc6ed-ef31-4840-b16b-2b353524a762> <
http://schema.org/name> "metadata" ;
a <
http://purl.org/wf4ever/wf4ever#Folder> , <
http://schema.org/Dataset> .
<
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/folders/40dd6a60-4a65-49cc-b9c6-1a38c2f52828> <
http://schema.org/hasPart> <
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/resources/9d33e2ab-889c-4510-8dd5-c383f6742d2f> ;
<
http://schema.org/name> "biblio" ;
a <
http://purl.org/wf4ever/wf4ever#Folder> , <
http://schema.org/Dataset> .
<
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/folders/99d3170c-f84c-483b-9829-e4ed8923425b> <
http://schema.org/hasPart> <
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/resources/cd78d36f-9384-465d-ba29-51a6598889e2> ;
<
http://schema.org/name> "data" ;
a <
http://purl.org/wf4ever/wf4ever#Folder> , <
http://schema.org/Dataset> .
<
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/folders/fac8ebb0-c06a-4723-9cf9-f4df3cf613b6> <
http://schema.org/name> "raw data" ;
a <
http://purl.org/wf4ever/wf4ever#Folder> , <
http://schema.org/Dataset> .
<
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/resources/9d33e2ab-889c-4510-8dd5-c383f6742d2f> <
http://schema.org/author> <
mailto:georgehadib@gmail.com> ;
<
http://schema.org/contentUrl> "https://www.biorxiv.org/content/10.1101/2021.05.23.445346v1" ;
<
http://schema.org/creator> <
mailto:georgehadib@gmail.com> ;
<
http://schema.org/dateCreated> "2022-03-22 01:00:41.856083+00:00" ;
<
http://schema.org/dateModified> "2022-03-22 01:00:41.967825+00:00" ;
<
http://schema.org/license> <
https://choosealicense.com/no-permission/> ;
<
http://schema.org/name> "https://www.biorxiv.org/content/10.1101/2021.05.23.445346v1" ;
<
http://schema.org/sdDatePublished> "2022-03-22 01:00:41.856083+00:00" ;
a dct:BibliographicResource , <
http://purl.org/wf4ever/wf4ever#Resource> , <
http://schema.org/MediaObject> .
<
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/resources/cd78d36f-9384-465d-ba29-51a6598889e2>
dct:bibliographicCitation "Kanduri, C. (2021).Data used in the article \"Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification\" [Data set]. Norstore. https://doi.org/10.11582/2021.00064" ;
dct:rightsHolder "Chakravarthi Kanduri" ;
dct:type "Model" ;
<
http://schema.org/author> <
mailto:georgehadib@gmail.com> ;
<
http://schema.org/contentUrl> "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00064" ;
<
http://schema.org/creator> <
mailto:georgehadib@gmail.com> ;
<
http://schema.org/dateCreated> "None" ;
<
http://schema.org/dateModified> "2022-03-22 01:00:45.689738+00:00" ;
<
http://schema.org/description> "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\"" ;
<
http://schema.org/license> <
https://choosealicense.com/no-permission/> ;
<
http://schema.org/name> "Data used in the article \"Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification\"" ;
<
http://schema.org/sdDatePublished> "None" ;
a <
http://purl.org/wf4ever/wf4ever#Dataset> , <
http://purl.org/wf4ever/wf4ever#Resource> , <
http://schema.org/MediaObject> ;
<
https://schema.org/maintainer> "Chakravarthi Kanduri" .
<
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/ro-crate-metadata.json>
dct:conformsTo <
https://w3id.org/ro/crate/1.1> ;
<
http://schema.org/about> <
https://w3id.org/ro-id/54524973-c104-4f19-aa26-b5986dadbd00/> ;
a <
http://schema.org/CreativeWork> .
<
mailto:chakravarthi.kanduri@rohub.com> <
http://schema.org/email> "chakravarthi.kanduri@rohub.com" ;
<
http://schema.org/name> "Chakravarthi Kanduri" ;
a <
http://xmlns.com/foaf/0.1/Agent> .
<
mailto:georgehadib@gmail.com> <
http://schema.org/name> "Geo H." ;
a <
http://xmlns.com/foaf/0.1/Agent> .
}