[{"@graph": [{"@id": "https://bioschemas.org/profiles/TrainingMaterial/1.0-RELEASE", "@type": ["http://schema.org/CreativeWork"]}, {"@id": "https://zbmed-semtec.github.io/dome-galaxy-training/docs/DOME.html", "http://ogp.me/ns#description": [{"@value": "Training materials about the DOME recommendations with a Galazy tutorial as a use case"}], "http://ogp.me/ns#locale": [{"@value": "en_US"}], "http://ogp.me/ns#site_name": [{"@value": "DOME recommendations with a Galaxy tutorial as a use case"}], "http://ogp.me/ns#title": [{"@value": "Introduction"}], "http://ogp.me/ns#type": [{"@value": "website"}], "http://ogp.me/ns#url": [{"@value": "https://zbmed-semtec.github.io/dome-galaxy-training/docs/DOME.html"}], "https://dev.twitter.com/cards#title": [{"@value": "Introduction"}]}, {"@id": "http://edamontology.org/topic_0091", "@type": ["http://schema.org/DefinedTerm"], "http://schema.org/inDefinedTermSet": [{"@id": "http://edamontology.org"}], "http://schema.org/name": [{"@value": "Bioinformatics"}], "http://schema.org/termCode": [{"@value": "topic_0091"}], "http://schema.org/url": [{"@id": "https://bioportal.bioontology.org/ontologies/EDAM/?p=classes&conceptid=http%3A%2F%2Fedamontology.org%2Ftopic_0091"}]}, {"@id": "_:Nb381f398c43249509a777d5a6cd5defd", "@type": ["http://schema.org/LearningResource"], "http://purl.org/dc/terms/conformsTo": [{"@id": "https://bioschemas.org/profiles/TrainingMaterial/1.0-RELEASE"}], "http://schema.org/about": [{"@id": "http://edamontology.org/topic_4019"}, {"@id": "http://edamontology.org/topic_3474"}, {"@id": "http://edamontology.org/topic_0091"}], "http://schema.org/audience": [{"@id": "_:N6e49ed83f1b5440bbfaf5c2ed2ff2089"}], "http://schema.org/author": [{"@id": "_:Na3a83356572d49d4a86fcede6b5adf33"}, {"@id": "_:N58778da9bff7450aaf6af9004082f865"}, {"@id": "_:N9d823c6d7ba0411e88ba16f4a40086b6"}, {"@id": "_:Na7ef0e78fcc94398b0a7c999bd5c4f79"}], "http://schema.org/dateCreated": [{"@type": "http://schema.org/Date", "@value": "2020-12-19"}], "http://schema.org/description": [{"@value": "In this lesson we will introduce the subject of good practices via the DOME recommendations when sharing supervised machine learning approaches with peers"}], "http://schema.org/educationalLevel": [{"@value": "beginner"}], "http://schema.org/inLanguage": [{"@value": "en"}], "http://schema.org/keywords": [{"@value": "Machine learning, supervised learning, good practices, ML sharing, ML comparison"}], "http://schema.org/learningResourceType": [{"@value": "presentation"}], "http://schema.org/license": [{"@id": "https://creativecommons.org/licenses/by/4.0/"}], "http://schema.org/name": [{"@value": "DOME recommendations using a Galaxy tutorial as a use case"}], "http://schema.org/teaches": [{"@value": "Listing some key elements to improve sharing and enabling comparison of supervised machine learning approaches"}, {"@value": "Understanding the DOME recommendations"}, {"@value": "Applying the DOME recommendations to your own supervised machine learning approach (or at least the provided use case)"}, {"@value": "Understanding what information is key when sharing supervised machine learning approaches"}], "http://schema.org/version": [{"@value": "1.0"}]}, {"@id": "_:Na3a83356572d49d4a86fcede6b5adf33", "@type": ["http://schema.org/Person"], "http://schema.org/name": [{"@value": "Fotis Psomopoulos"}]}, {"@id": "_:N58778da9bff7450aaf6af9004082f865", "@type": ["http://schema.org/Person"], "http://schema.org/name": [{"@value": "Jennifer Harrow"}]}, {"@id": "_:N9d823c6d7ba0411e88ba16f4a40086b6", "@type": ["http://schema.org/Person"], "http://schema.org/name": [{"@value": "Silvio Tossato"}]}, {"@id": "_:Na7ef0e78fcc94398b0a7c999bd5c4f79", "@type": ["http://schema.org/Person"], "http://schema.org/name": [{"@value": "Leyla Jael Castro"}]}, {"@id": "_:N6e49ed83f1b5440bbfaf5c2ed2ff2089", "@type": ["http://schema.org/Audience"], "http://schema.org/audienceType": [{"@value": "machine learning enthusiasts"}]}, {"@id": "_:Nf812c3cd045c4b188de57311513c1ada", "@type": ["http://schema.org/LearningResource"], "http://purl.org/dc/terms/conformsTo": [{"@id": "https://bioschemas.org/profiles/TrainingMaterial/1.0-RELEASE"}], "http://schema.org/about": [{"@id": "http://edamontology.org/topic_4019"}, {"@id": "http://edamontology.org/topic_3474"}, {"@id": "http://edamontology.org/topic_0091"}], "http://schema.org/audience": [{"@id": "_:Nc2426f91e6e64b1a9c9c501e0a7d6636"}], "http://schema.org/author": [{"@id": "_:N4248f35094c14ae5bb3a1b29b033fb74"}, {"@id": "_:N7c3491a7b8e14487a04b773e37155043"}, {"@id": "_:N9e800c10a22c4539a6272315190460ab"}, {"@id": "_:N41507e92c393442d9f6cd8237de9676f"}], "http://schema.org/dateCreated": [{"@type": "http://schema.org/Date", "@value": "2020-12-19"}], "http://schema.org/description": [{"@value": "In this lesson we will introduce the subject of good practices via the DOME recommendations when sharing supervised machine learning approaches with peers"}], "http://schema.org/educationalLevel": [{"@value": "beginner"}], "http://schema.org/inLanguage": [{"@value": "en"}], "http://schema.org/keywords": [{"@value": "Machine learning, supervised learning, good practices, ML sharing, ML comparison"}], "http://schema.org/learningResourceType": [{"@value": "presentation"}], "http://schema.org/license": [{"@id": "https://creativecommons.org/licenses/by/4.0/"}], "http://schema.org/name": [{"@value": "DOME recommendations using a Galaxy tutorial as a use case"}], "http://schema.org/teaches": [{"@value": "Understanding the DOME recommendations"}, {"@value": "Applying the DOME recommendations to your own supervised machine learning approach (or at least the provided use case)"}, {"@value": "Understanding what information is key when sharing supervised machine learning approaches"}, {"@value": "Listing some key elements to improve sharing and enabling comparison of supervised machine learning approaches"}], "http://schema.org/version": [{"@value": "1.0"}]}, {"@id": "_:N4248f35094c14ae5bb3a1b29b033fb74", "@type": ["http://schema.org/Person"], "http://schema.org/name": [{"@value": "Silvio Tossato"}]}, {"@id": "_:N7c3491a7b8e14487a04b773e37155043", "@type": ["http://schema.org/Person"], "http://schema.org/name": [{"@value": "Jennifer Harrow"}]}, {"@id": "_:N9e800c10a22c4539a6272315190460ab", "@type": ["http://schema.org/Person"], "http://schema.org/name": [{"@value": "Fotis Psomopoulos"}]}, {"@id": "_:N41507e92c393442d9f6cd8237de9676f", "@type": ["http://schema.org/Person"], "http://schema.org/name": [{"@value": "Leyla Jael Castro"}]}, {"@id": "_:Nc2426f91e6e64b1a9c9c501e0a7d6636", "@type": ["http://schema.org/Audience"], "http://schema.org/audienceType": [{"@value": "machine learning enthusiasts"}]}, {"@id": "_:N9e7e33bf95fe48a09194072013c70878", "@type": ["http://schema.org/WebPage"], "http://schema.org/description": [{"@value": "Training materials about the DOME recommendations with a Galazy tutorial as a use case"}], "http://schema.org/headline": [{"@value": "Introduction"}], "http://schema.org/publisher": [{"@id": "_:N35fee62444b9427281ebf3f2b60020f8"}], "http://schema.org/url": [{"@id": "https://zbmed-semtec.github.io/dome-galaxy-training/docs/DOME.html"}]}, {"@id": "_:N35fee62444b9427281ebf3f2b60020f8", "@type": ["http://schema.org/Organization"], "http://schema.org/logo": [{"@id": "_:Nc0442b035db94e62951e66f6658ecef1"}]}, {"@id": "_:Nc0442b035db94e62951e66f6658ecef1", "@type": ["http://schema.org/ImageObject"], "http://schema.org/url": [{"@id": "https://zbmed-semtec.github.io/dome-galaxy-training/dome.gif"}]}, {"@id": "_:Needdc8fb0cf943658b716ead6f85538d", "@type": ["http://schema.org/WebPage"], "http://schema.org/description": [{"@value": "Training materials about the DOME recommendations with a Galazy tutorial as a use case"}], "http://schema.org/headline": [{"@value": "Introduction"}], "http://schema.org/publisher": [{"@id": "_:Ndef393bf103649e49b68f9e301333beb"}], "http://schema.org/url": [{"@id": "https://zbmed-semtec.github.io/dome-galaxy-training/docs/DOME.html"}]}, {"@id": "_:Ndef393bf103649e49b68f9e301333beb", "@type": ["http://schema.org/Organization"], "http://schema.org/logo": [{"@id": "_:N0f9e0ad7b5fd4426a9871dbd3ba8a071"}]}, {"@id": "_:N0f9e0ad7b5fd4426a9871dbd3ba8a071", "@type": ["http://schema.org/ImageObject"], "http://schema.org/url": [{"@id": "https://zbmed-semtec.github.io/dome-galaxy-training/dome.gif"}]}, {"@id": "http://edamontology.org/topic_4019", "@type": ["http://schema.org/DefinedTerm"], "http://schema.org/inDefinedTermSet": [{"@id": "http://edamontology.org"}], "http://schema.org/name": [{"@value": "Biosciences"}], "http://schema.org/termCode": [{"@value": "topic_4019"}], "http://schema.org/url": [{"@id": "https://bioportal.bioontology.org/ontologies/EDAM/?p=classes&conceptid=http%3A%2F%2Fedamontology.org%2Ftopic_4019"}]}, {"@id": "http://edamontology.org/topic_3474", "@type": ["http://schema.org/DefinedTerm"], "http://schema.org/inDefinedTermSet": [{"@id": "http://edamontology.org"}], "http://schema.org/name": [{"@value": "Machine learning"}], "http://schema.org/termCode": [{"@value": "topic_3474"}], "http://schema.org/url": [{"@id": "https://bioportal.bioontology.org/ontologies/EDAM/?p=classes&conceptid=http%3A%2F%2Fedamontology.org%2Ftopic_3474"}]}], "@id": "https://zbmed-semtec.github.io/dome-galaxy-training/docs/DOME.html#html"}]
