MultimodalExperiment

MultimodalExperiment integrates bulk and single-cell experiment data into a unified S4 class container with storage-efficient multimodal representation and fast coordination methods.

Key Features:

• Multimodal Data Integration: Represents multimodal data of any nature within a single container.
• Normalized Annotations: Features normalized experiment, subject, sample, and cell annotations related to underlying biological experiments through maps.
• Opt-in Coordination Methods: Employs database-like join operations internally for fast and flexible management of multimodal data.
• Storage Efficiency: Optimally storage-efficient architecture for integrated bulk and single-cell data.
• Computational Performance: Methods are exceptionally fast for data retrieval and manipulation.

Scientific Applications:

• Bulk and Single-Cell Data Integration: Unifies bulk experiment data with single-cell experiment data in one analytical framework.
• Multimodal Biological Data Management: Enables coordinated analysis of diverse multimodal datasets through mapped annotations.

Methodology:

Implements an S4 class with database-like join operations for internal coordination of multimodal data.