[ { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/pubinfo", "@graph": [ { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk", "http://purl.org/dc/terms/created": [ { "@value": "2026-03-03T16:18:40.724+01:00", "@type": "http://www.w3.org/2001/XMLSchema#dateTime" } ], "http://purl.org/dc/terms/creator": [ { "@id": "https://w3id.org/kpxl/gen/terms/RoCrateBot" } ], "http://purl.org/nanopub/x/introduces": [ { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/" } ], "@type": [ "http://purl.org/nanopub/x/RoCrateNanopub" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data" } ] }, { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/sig", "http://purl.org/nanopub/x/hasAlgorithm": [ { "@value": "RSA" } ], "http://purl.org/nanopub/x/hasPublicKey": [ { "@value": "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" } ], "http://purl.org/nanopub/x/hasSignature": [ { "@value": "kSXndgK6Uq45FKcLtxJV8cH/DHxSwzs85GFeb0w9Tauxb+22yOQolnyXDx+0+9zmBXzZqqgdHa4P0q4CKJIklb5Qv8xqoh0jLf+0gk8fj79VjAWCvXX+nGN2Oqll/YbsCRRnOAkqtPSYO8khTN5rv4schnStYLdPiDt/uqWA9Z4p8S/ZTa7+xwBGzLiu9OYYNDRDzwNDONbc17EgUYhrHh0ARiU4WKMWpiQ4fsyMvdH3WhpQcRmQYQYpwpDKXfIfJ0iOhTEao9a3wNMoKFUgBom2NW/SfOVNdmuSLuzdvg/BxvYuInmcrZsMUG8oIKRmxiSCcI5f86K2vHRELdq/MQ==" } ], "http://purl.org/nanopub/x/hasSignatureTarget": [ { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk" } ], "http://purl.org/nanopub/x/signedBy": [ { "@id": "https://w3id.org/kpxl/gen/terms/RoCrateBot" } ] } ] }, { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/Head", "@graph": [ { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk", "http://www.nanopub.org/nschema#hasAssertion": [ { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/assertion" } ], "http://www.nanopub.org/nschema#hasProvenance": [ { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/provenance" } ], "http://www.nanopub.org/nschema#hasPublicationInfo": [ { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/pubinfo" } ], "@type": [ "http://www.nanopub.org/nschema#Nanopublication" ] } ] }, { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/assertion", "@graph": [ { "@id": "http://eurovoc.europa.eu/2919", "http://schema.org/description": [ { "@value": "" } ], "http://schema.org/name": [ { "@value": "Environmental research" } ], "@type": [ "http://schema.org/DefinedTerm" ] }, { "@id": "http://eurovoc.europa.eu/3941", "http://schema.org/description": [ { "@value": "" } ], "http://schema.org/name": [ { "@value": "Life sciences" } ], "@type": [ "http://schema.org/DefinedTerm" ] }, { "@id": "http://eurovoc.europa.eu/3946", "http://schema.org/description": [ { "@value": "" } ], "http://schema.org/name": [ { "@value": "Physical sciences" } ], "@type": [ "http://schema.org/DefinedTerm" ] }, { "@id": "http://eurovoc.europa.eu/4921", "http://schema.org/description": [ { "@value": "" } ], "http://schema.org/name": [ { "@value": "Biology" } ], "@type": [ "http://schema.org/DefinedTerm" ] }, { "@id": "http://eurovoc.europa.eu/5881", "http://schema.org/description": [ { "@value": "" } ], "http://schema.org/name": [ { "@value": "Medical science" } ], "@type": [ "http://schema.org/DefinedTerm" ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/-1738623640", "@type": [ "https://w3id.org/contentdesc#Expression" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "receptor data" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/-2037710156", "@type": [ "https://w3id.org/contentdesc#Expression" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "specification file" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/100082784", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "file" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/100103568", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "antigen" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/100188603", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "fact" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/100219351", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "input/output" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/101172315", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "dataset" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/1096127751", "@type": [ "https://w3id.org/contentdesc#Expression" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "antigen specificity" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/112303", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "guideline" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/151978", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "receptor" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/23148", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "specificity" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/25424641", "@type": [ "https://w3id.org/contentdesc#Expression" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "input/output output file" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/27329", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "learning" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/29993", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "output file" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/38959", "@type": [ "https://w3id.org/contentdesc#Concept" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "information" } ] }, { "@id": "http://w3id.org/ro-id/rohub/model#subject/525507811", "@type": [ "https://w3id.org/contentdesc#Expression" ], "http://www.w3.org/2004/02/skos/core#prefLabel": [ { "@value": "immuneML use case 2" } ] }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/#enrichment_service-account-enrichment", "http://schema.org/name": [ { "@value": "service-account-enrichment" } ], "@type": [ "http://xmlns.com/foaf/0.1/Agent" ] }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/", "http://schema.org/about": [ { "@id": "http://eurovoc.europa.eu/2919" }, { "@id": "http://eurovoc.europa.eu/3941" }, { "@id": "http://eurovoc.europa.eu/3946" }, { "@id": "http://eurovoc.europa.eu/4921" }, { "@id": "http://eurovoc.europa.eu/5881" } ], "http://schema.org/author": [ { "@id": "mailto:milena.pavlovic@rohub.com" } ], "http://schema.org/contentSize": [ { "@value": "8013", "@type": "http://www.w3.org/2001/XMLSchema#integer" } ], "http://schema.org/contentUrl": [ { "@value": "https://api.rohub.org/api/ros/dfece22d-4a22-4a58-81e6-b42fd4c66728/crate/download/" } ], "http://schema.org/creator": [ { "@id": "mailto:georgehadib@gmail.com" } ], "http://schema.org/dateCreated": [ { "@value": "2022-03-22 00:43:20.656579+00:00" } ], "http://schema.org/dateModified": [ { "@value": "2025-03-05 00:53:54.291837+00:00" } ], "http://schema.org/datePublished": [ { "@value": "2022-03-22 00:43:20.656579+00:00" } ], "http://schema.org/description": [ { "@value": "This dataset contains the data, original specification files, GLIPH2 input/output files and complete results for immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data.\n\n\nTo use the dataset you should follow the guidelines in the README.txt file contained within the dataset." } ], "http://schema.org/encodingFormat": [ { "@value": "application/ld+json" } ], "http://schema.org/hasPart": [ { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/05f41eeb-d90d-4b47-8040-ae99faf39d37" }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/3aa4923f-0e70-4e30-b7cb-2de60edca2b8" }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/c934858e-0f6d-430b-8150-9091979f6fa7" }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/f77dcef7-0664-4d66-848a-963c1f71223c" } ], "http://schema.org/identifier": [ { "@value": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728" } ], "http://schema.org/license": [ { "@id": "https://choosealicense.com/no-permission/" } ], "http://schema.org/name": [ { "@value": "immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data" } ], "http://w3id.org/ro-id/rohub/model#creation_mode": [ { "@value": "MANUAL" } ], "@type": [ "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": [ { "@value": "Milena Pavlović. \"immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728." } ] }, { "@id": "mailto:milena.pavlovic@rohub.com", "http://schema.org/email": [ { "@value": "milena.pavlovic@rohub.com" } ], "http://schema.org/name": [ { "@value": "Milena Pavlović" } ], "@type": [ "http://xmlns.com/foaf/0.1/Agent" ] }, { "@id": "mailto:georgehadib@gmail.com", "http://schema.org/name": [ { "@value": "Geo H." } ], "@type": [ "http://xmlns.com/foaf/0.1/Agent" ] }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/05f41eeb-d90d-4b47-8040-ae99faf39d37", "http://schema.org/name": [ { "@value": "metadata" } ], "@type": [ "http://purl.org/wf4ever/wf4ever#Folder", "http://schema.org/Dataset" ] }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/3aa4923f-0e70-4e30-b7cb-2de60edca2b8", "http://schema.org/name": [ { "@value": "raw data" } ], "@type": [ "http://purl.org/wf4ever/wf4ever#Folder", "http://schema.org/Dataset" ] }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/c934858e-0f6d-430b-8150-9091979f6fa7", "http://schema.org/hasPart": [ { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/resources/41202609-24ef-4db7-8267-0bf627613c28" } ], "http://schema.org/name": [ { "@value": "data" } ], "@type": [ "http://purl.org/wf4ever/wf4ever#Folder", "http://schema.org/Dataset" ] }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/f77dcef7-0664-4d66-848a-963c1f71223c", "http://schema.org/name": [ { "@value": "biblio" } ], "@type": [ "http://purl.org/wf4ever/wf4ever#Folder", "http://schema.org/Dataset" ] }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/resources/41202609-24ef-4db7-8267-0bf627613c28", "http://purl.org/dc/terms/bibliographicCitation": [ { "@value": "Pavlović, M. (2021).immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data [Data set]. Norstore. https://doi.org/10.11582/2021.00009" } ], "http://purl.org/dc/terms/rightsHolder": [ { "@value": "Lonneke Scheffer" } ], "http://purl.org/dc/terms/type": [ { "@value": "Experiment" } ], "http://schema.org/author": [ { "@id": "mailto:georgehadib@gmail.com" } ], "http://schema.org/contentUrl": [ { "@value": "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00009" } ], "http://schema.org/creator": [ { "@id": "mailto:georgehadib@gmail.com" } ], "http://schema.org/dateCreated": [ { "@value": "2021-02-16 00:00:00" } ], "http://schema.org/dateModified": [ { "@value": "2022-03-22 00:43:31.859965+00:00" } ], "http://schema.org/description": [ { "@value": "This dataset contains the data, original specification files, GLIPH2 input/output files and complete results for immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data.\n\n\nTo use the dataset you should follow the guidelines in the README.txt file contained within the dataset." } ], "http://schema.org/license": [ { "@id": "https://choosealicense.com/no-permission/" } ], "http://schema.org/name": [ { "@value": "immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data" } ], "http://schema.org/sdDatePublished": [ { "@value": "2021-02-16 00:00:00" } ], "@type": [ "http://purl.org/wf4ever/wf4ever#Dataset", "http://purl.org/wf4ever/wf4ever#Resource", "http://schema.org/MediaObject" ], "https://schema.org/maintainer": [ { "@value": "Lonneke Scheffer" } ] }, { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/ro-crate-metadata.json", "http://purl.org/dc/terms/conformsTo": [ { "@id": "https://w3id.org/ro/crate/1.1" } ], "http://schema.org/about": [ { "@id": "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/" } ], "@type": [ "http://schema.org/CreativeWork" ] } ] }, { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/provenance", "@graph": [ { "@id": "https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/assertion", "http://www.w3.org/ns/prov#wasDerivedFrom": [ { "@id": "https://api.rohub.org/api/ros/dfece22d-4a22-4a58-81e6-b42fd4c66728/crate/download/ro-crate-metadata.json" } ] } ] } ]