Introduction

bioconductor-GARS provides methods for analyzing data from clinical proteomic profiling studies. The focus is on the studies of human subjects, which are often observational case-control by design and have technical replicates. A method for sample size determination for planning these studies is proposed. It incorporates routines for adjusting for the expected heterogeneities and imbalances in the data and the within-sample replicate correlations.

For more information, visit the bioconductor-GARS website.

Brief description: Methods for analyzing data from clinical proteomic profiling studies.

Programming language: R

Open source license: GPL (≥ 2)

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1.16.0