//Property: name
"name": "Gene Set Analysis with scRNA-Seq data"

//Property: abstract
"abstract": "An R Markdown tutorial demonstrating gene set analysis methods for RNA-seq data using clusterProfiler. Covers over-representation analysis (ORA) and gene set enrichment analysis (GSEA) using Gene Ontology annotations for Arabidopsis thaliana, including data preprocessing, statistical testing, and multiple visualization approaches for interpreting functional enrichment results."

//Property: author
"author":  [
  {
    "@type": "Person",
    "name": "Audrey ONFROY"
  },{ 
    "@type": "Person",
    "name": "Thibault DAYRIS"
  },{ 
    "@type": "Person",
    "name": "Jean-Pascal MENEBOO"
  }
]

//Property: description
"description": "An R Markdown tutorial demonstrating gene set analysis methods for RNA-seq data using clusterProfiler. Covers over-representation analysis (ORA) and gene set enrichment analysis (GSEA) using Gene Ontology annotations for Arabidopsis thaliana, including data preprocessing, statistical testing, and multiple visualization approaches for interpreting functional enrichment results."

//Property: audience
"audience": {
    "@type": "Audience",
    "audienceType": "beginner in high-throughput sequencing data analysis, starting at graduate level" 
}

//Property: educationalLevel
"educationalLevel": "Beginner"

//Property: inLanguage
"inLanguage": ["en-US"]
  
//Property: teaches
"teaches": [
    "The student will be able to perform over-representation analysis (ORA) on differentially expressed gene lists",
    "The student will be able to conduct gene set enrichment analysis (GSEA) using ranked gene lists",
    "The student will be able to interpret and visualize functional enrichment results using multiple graphical methods",
    "The student will be able to query and filter Gene Ontology terms based on biological relevance",
    "The student will be able to convert between different gene identifier systems for database compatibility"
]

//Property: keywords
"keywords": "gene set enrichment, over-representation analysis, functional annotation, Gene Ontology, clusterProfiler"

//Property: learningResourceType (presentation or handout)
"learningResourceType": ["handout"]

//Property: license
// "https://creativecommons.org/licenses/by-sa/4.0/"
// "https://mit-license.org/"
"license": ["https://creativecommons.org/licenses/by-sa/4.0/"]

//Property: dateModified
"dateModified": "2025-11-17T0:00:00+00:00"