gren (version 0.0.1)

dataCervical: Contains three R-objects, including the data and the binary response

Description

The three objects are: mirCerv: 772 sequenced microRNAs for 56 samples; respCerv: binary response coded as healthy and pre-cursor lesions for cervical cancer; and mirCons: conservation status of the microRNAs in three levels coded as only found in humans, found in most mammals, and found in most vertebrates

Usage

data(dataCervical)

Format

The formats are:

mirCerv

matrix [1:56, 1:772]

respCerv

Factor w/ 2 levels "CIN3","Normal"

mirCons

Factor w/ 3 levels "NotCons", "Mammals", "Broadly"

Details

This data is used for illustration in the vignette of the gren package.

References

M<U+00FC>nch, M.M., Peeters, C.F.W., van der Vaart, A.W., and van de Wiel, M.A. (2018). Adaptive group-regularized logistic elastic net regression. arXiv:1805.00389v1 [stat.ME].

Examples

# NOT RUN {
data(dataCervical)
str(mirCerv)
str(respCerv)
str(mirCons)
# }