scrapper

scrapper implements R bindings to C++ code for analyzing single-cell expression data, with each function performing an individual step in the single-cell analysis workflow ranging from quality control to clustering and marker detection.

Key Features:

• libscran Integration: Provides R bindings to C++ code mostly from various libscran libraries for single-cell data analysis.
• Modular Workflow Steps: Each function performs an individual step in the single-cell analysis workflow.
• Bioconductor Object Support: Wrappers support construction of end-to-end workflows involving Bioconductor objects like SingleCellExperiments.

Scientific Applications:

• Quality Control: Performs quality control steps in single-cell expression data analysis workflows.
• Clustering: Performs clustering of single-cell expression data.
• Marker Detection: Performs marker detection in single-cell expression data.

Methodology:

Implements R bindings to C++ code, mostly from various libscran libraries.