MultiDataSet

MultiDataSet provides an R/Bioconductor class for standardized management and integration of multiple omic datasets derived from the same subjects to support multi-omics analysis.

Key Features:

• Standardized Data Management: Implements a unified class structure that encapsulates multiple omic datasets within the R/Bioconductor framework.
• Handling Non-Complete Datasets: Manages incomplete and disparate datasets to accommodate missing assays across subjects.
• Flexible Subsetting and Sample Selection: Provides general methods for subsetting features and selecting samples across contained datasets.
• Integration with Third-Party Packages: Enables integration analyses by interoperating with third-party R/Bioconductor packages.
• Custom Method Development: Allows development and incorporation of new methods and functions tailored for omic data integration.
• Encapsulation of Novel Data Types: Encapsulates unimplemented or novel experimental data types within the class structure.

Scientific Applications:

• Integration Analysis: Supports multi-omics integration analyses across different omic layers from the same subjects.
• Development of New Analytical Methods: Serves as a basis for creating and testing new algorithms and functions for omic data integration.
• Encapsulation of Diverse Biological Data: Provides a platform to represent and analyze diverse datasets from biological experiments.

Methodology:

Implements a unified R/Bioconductor class to encapsulate multiple omic datasets, provides methods for subsetting features and selecting samples, handles incomplete datasets, and enables integration with third-party packages and development of custom methods.