cypress
CYPRESS performs power analysis for cell-type-specific data, calculating FDR, FDC, and power under various study design parameters to identify cell-type-specific differential expression (csDE) genes.
Key Features:
- Power Analysis: Calculates FDR, FDC, and power under various study design parameters including sample size and effect size.
- Cell-Type Mixture Proportion Estimation: Solves cell-type mixture proportions from the reference-free panel from TOAST.
- csDE Gene Identification: Conducts tests to identify cell-type-specific differential expression (csDE) genes.
- SummarizedExperiment Input: Accepts a SummarizedExperiment (SE) object with observed mixture data (feature by sample matrix) and cell-type mixture proportions (sample by cell-type matrix).
Scientific Applications:
- Cell-Type-Specific Differential Expression Studies: Enables power assessment and detection of cell-type-specific differential expression genes from mixture data.
Methodology:
CYPRESS takes as input a SummarizedExperiment (SE) object containing observed mixture data (feature by sample matrix) and cell-type mixture proportions (sample by cell-type matrix), and can solve cell-type mixture proportions from the reference-free panel from TOAST.
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 9/1/2026
- Last Updated:
- 9/1/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/cypressDownloads
- Source codehttps://github.com/renlyly/cypress