RImmPort

RImmPort provides programmatic access to ImmPort study datasets and R/Bioconductor class-based data structures to standardize, load, and manipulate clinical and molecular immunology data for computational analysis of immune responses and disease mechanisms.

Key Features:

• Standardized Data Access: Provides a standards-based interface to retrieve ImmPort study datasets, including datasets originally in proprietary formats.
• R Class Specifications: Defines R classes that encapsulate the diverse types of ImmPort study data to represent complex biological datasets within R and Bioconductor.
• Data Loading Methods: Implements methods to load specific ImmPort study datasets into the R environment.
• Generic Data Manipulation: Offers generic methods to subset ("slice and dice") and manipulate data across dimensions within one or multiple studies.
• Support for Open Formalisms: Implements open formalisms such as CDISC standards integrated via Bioconductor to promote interoperability and analytical readiness.

Scientific Applications:

• Data-driven immunology: Enables computational reanalysis of clinical and molecular datasets from NIAID-funded immunological studies for hypothesis generation.
• Immune response analysis: Facilitates structured analyses of immune responses using harmonized study-level clinical and molecular measurements.
• Disease mechanism and therapeutic research: Supports cross-study comparisons and integrative analyses to investigate disease mechanisms and potential therapeutic interventions.

Methodology:

Encapsulation of ImmPort study data into well-defined R classes; methods to load and to subset/manipulate study datasets within R; and use of open standards such as CDISC through Bioconductor integrations.