Training materials
Scientific topics: Computational biology or Computer science or Mass spectrometry
and Resource type: Computational Biology or E-Learning or Notes
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
Video, E-Learning
SPHN Dataset Template: Build an RDF schema from an Excel file
•• intermediateComputer science Data management FAIR data Medical informatics Semantic artifacts generation Automation Clinical data Semantic Framework FAIR RDF RDF graph generation Dataset template -
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 -
Notes, Scripts
MATHEMATICS BOOT CAMP: Introduction to Complex Systems Tools