In LXQin/precision: PaiREd miCrorna sImulation on Study desIgn for mOlecular classificatioN

PRECISION: PaiREd miCrorna sImulation on Study desIgn for mOlecular classificatioN

PRECISION is a package that allows users to conduct a simulation study for molecular classification, using a unique pair of Agilent microRNA array datasets. The simulation study illustrates the intricate interplay between data generation, data preprocessing, and cross-validation for molecular classification. Our primary goal is to offer insights on the desired practice of study design and data analysis for classification problems, so that research sources can be optimized to generate high-quality molecular data and allow the development of reproducible classifiers.

To load the package currently available on GitHub, type the following command in R console:

library(devtools) # devtools is required

install_github("rebeccahch/precision")
library(PRECISION)

When using PRECISION, please cite the following papers:

• Huang HC, Qin LX. PRECISION: an R package for assessing study design and data normalization for molecular classification studies using a unique pair of microarray datasets (2016). GitHub repository, https://github.com/rebeccahch/precision.

• Qin LX, Huang HC, Begg CB. Cautionary note on cross validation in molecular classification. Journal of Clinical Oncology. 2016, http://ascopubs.org/doi/abs/10.1200/JCO.2016.68.1031.

An introduction to PRECISION can be found in the vignette here.

LXQin/precision documentation built on May 11, 2019, 6:24 p.m.