ssize
ssize computes sample size requirements for gene expression arrays to support experimental design and statistical power estimation in genomics studies.
Key Features:
- Sample Size Computation: Provides functions to calculate sample size requirements and statistical power for gene expression array experiments.
- Data Visualization: Displays computed sample size information to facilitate interpretation of results.
- Integration with Bioconductor: Operates within the Bioconductor ecosystem to enable interoperability with other R/Bioconductor packages.
Scientific Applications:
- Experimental Design for Gene Expression Arrays: Supplies critical sample size calculations to ensure experiments are adequately powered to detect differential expression or associations.
Methodology:
Implements statistical methodologies within the R programming environment and the Bioconductor framework.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.