SETA

SETA performs compositional and sample-level ecological analyses and visualizations tailored for single-cell RNA-seq data.

Key Features:

• Cell Type Taxonomization: SETA includes functions for taxonomizing celltypes.
• Data Normalization: SETA includes functions for normalizing data.
• Statistical Testing: SETA includes functions for performing statistical tests.
• Result Visualization: SETA includes functions for visualizing results.

Scientific Applications:

• Single-Cell RNA-seq Ecological Analysis: SETA applies ecological analysis methods to single-cell RNA-seq data.
• Compositional Data Analysis: SETA performs compositional analyses on single-cell data.
• Sample-Level Analysis: SETA performs sample-level ecological analyses on single-cell data.

Methodology:

Ecological analysis methods adapted for single-cell RNA-seq data.