sizepower

sizepower performs sample size and power calculations for microarray experimental studies within the Bioconductor ecosystem.

Key Features:

• Diverse calculation types: Supports five distinct types of sample size and power calculations adaptable to standard microarray experimental designs.
• Bioconductor and R integration: Implements computations within the Bioconductor ecosystem using the statistical programming capabilities of R for interoperability with other Bioconductor packages.
• Statistical foundation: Bases calculations on established statistical principles tailored for high-throughput genomic (microarray) data.
• Design adaptability: Accommodates various experimental designs commonly encountered in microarray studies.

Scientific Applications:

• Study planning: Determines appropriate sample sizes during the planning stages of microarray experiments to ensure adequate statistical power.
• Power and effect assessment: Assesses statistical power and the ability to detect meaningful biological differences in high-throughput microarray data, supporting resource optimization.

Methodology:

Calculations are performed using established statistical principles tailored for high-throughput genomic (microarray) data within the Bioconductor/R framework.