Training materials
Keywords: Cells and Organisms or Clinical data or Populations or Shiny or computer-science or single-cell
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hands-on tutorial
Hands-on for 'Removing the effects of the cell cycle' tutorial
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hands-on tutorial
Hands-on for 'Comparing inferred cell compositions using MuSiC deconvolution' tutorial
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hands-on tutorial
Hands-on for 'Creating the bulk RNA-seq dataset for deconvolution' tutorial
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hands-on tutorial
Hands-on for 'Creating the single-cell RNA-seq reference dataset for deconvolution' tutorial
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Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
hands-on tutorial
Hands-on for 'Inferring trajectories using Monocle3' tutorial
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Video, E-learning
FAIR principles in practice for health data
• beginnerComputer science Data management FAIR data Medical informatics Standardisation and normalisation Design Clinical data RDF Knowledge graph Semantic framework FAIR Findability Accessibility Interoperability Reusability -
hands-on tutorial
Hands-on for 'Combining datasets after pre-processing' tutorial
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hands-on tutorial
Hands-on for 'Inferring Trajectories using Scanpy (Python)' tutorial
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hands-on tutorial
Hands-on for 'Pre-processing of 10X Single-Cell RNA Datasets' tutorial