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.

Documentation

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