CYPRESS

CYPRESS enables cell-type-specific power analysis for differential expression studies by simulating bulk RNA-seq data to optimize experimental design and evaluate influencing factors.

Key Features:

• Cell-type-specific profile modeling: Reliably models purified cell-type-specific (CTS) profiles, cell-type compositions, biological variations, and technical variations.
• Bulk RNA-seq simulation: Offers a high-fidelity simulator for bulk RNA-seq convolution and deconvolution.
• Power analysis: Conducts simulation and evaluates the impact of multiple influencing factors using various statistical metrics to help researchers optimize experimental design.
• Statistical evaluation: Provides power assessment for cell-type-specific differentially expressed (csDE) genes identification through multiple statistical metrics.

Scientific Applications:

• Experimental design optimization: Helps researchers optimize experimental design for cell-type-specific differential expression studies.
• Cell-type-specific differential expression analysis: Supports identification of csDE genes in clinical applications through deconvolution of bulk transcriptome data.
• Bulk RNA-seq data analysis: Enables finer cell-type level analysis of bulk transcriptome data through computational signal deconvolution approaches.

Methodology:

CYPRESS implements simulation-based power analysis using statistical modeling of purified cell-type-specific profiles, cell-type compositions, and biological and technical variations to simulate bulk RNA-seq convolution and deconvolution.