struct

struct provides an R/Bioconductor framework to standardize and streamline statistical analysis workflows for omics research, including metabolomics.

Key Features:

• R/Bioconductor implementation: struct is implemented in R and distributed as a Bioconductor package.
• Class-based templates: A suite of class-based templates encapsulates data processing and analysis steps to promote standardized, readable workflows.
• Integration with STATistics Ontology: Workflows and reporting integrate STATistics Ontology terms to ensure consistent terminology and semantic interoperability.
• StructToolbox: The StructToolbox provides an extensive set of commonly used data analysis methods implemented within struct's framework.
• Statistical and machine learning capabilities: Emphasizes statistical rigor and supports machine learning methods for analyzing complex biological datasets.

Scientific Applications:

• Metabolomics data analysis: Enables standardized statistical and machine learning workflows for metabolomics datasets.
• Omics workflow development: Supports creation of reproducible, consistent analysis pipelines across diverse omics technologies.
• Reproducible reporting and semantic interoperability: Facilitates consistent reporting and comparison of results via STATistics Ontology integration.

Methodology:

Use of class-based templates to encapsulate data processing and analysis steps and integration with STATistics Ontology to align workflows with recognized statistical terminology.