FIRM

FIRM integrates heterogeneous single-cell RNA-sequencing (scRNA-seq) datasets across platforms such as SMART-Seq2 (SS2) and 10X to preserve cell-type identities and enable accurate comparative analyses.

Key Features:

• Platform-Specific Integration: Manages integration of datasets generated by SC technologies including SMART-Seq2 (SS2) and 10X to address platform-induced differences.
• Preservation of Cell Type Identity and Structure: Maintains cell-type identities and the original structural characteristics of each dataset to avoid overcorrection.
• Handling Heterogeneity in Cell Composition: Accounts for discrepancies in cell-type composition between datasets to enable more reliable integration across sources.
• Robust Dataset Integration: Demonstrated superior performance on large-scale scRNA-seq datasets from mouse, mouse lemur, and human when compared to other state-of-the-art methods.
• Transfer of Annotations: Enables transfer of cell type labels and annotations between datasets to support consistent annotation across integrated collections.

Scientific Applications:

• Cell Atlas Construction: Supports generation of comprehensive cell atlases by integrating multi-platform datasets.
• Novel Cell Type Discovery: Facilitates identification of previously uncharacterized cell populations through combined analysis.
• Comparative Analyses Across Tissues and Platforms: Enables large-scale comparative studies across tissue types, sequencing platforms, and experimental batches.
• Annotation Harmonization: Provides a basis for harmonizing cell type annotations in multi-dataset projects such as large-scale atlases.
• Trajectory and Biological Insight: Supports downstream analyses that infer biological trajectories and relationships across integrated datasets.

Methodology:

FIRM employs an algorithm that explicitly accounts for heterogeneity in cell-type composition between datasets from different platforms to integrate data while preserving original dataset structures.