OCplus

OCplus evaluates operating characteristics of microarray experiments to characterize the trade-off between false discovery rate (FDR) and the power to detect truly regulated genes.

Key Features:

• Operating Characteristic Analysis: Evaluates the trade-off between false discovery rate (FDR) and detection power for microarray experiments.
• Sample Size Assessment: Assesses sample size requirements for planned experiments to achieve target power while controlling FDR.
• Differential Expression Analysis: Identifies differentially expressed genes from collected microarray data.
• Bioconductor/R Integration: Implemented within the Bioconductor framework and leverages the statistical programming language R.

Scientific Applications:

• Genomics Research: Facilitates detection of regulated genes to support biomarker discovery and studies of gene function.
• Molecular Biology Studies: Supports precise identification of gene expression changes in investigations of cellular responses to environmental stimuli or drug treatments.

Methodology:

Operates within the Bioconductor framework and leverages the R programming language.