The example data used in this package, are a subset of the
data provided by Mestdagh et al. (2009). The subset
contains quantification cycles of 323 microRNAs in 61
neuroblastoma (NB) tumor samples: 22 MYCN amplified (called
MNA) and 39 MYCN single copy samples (called MNSC). The
subset was selected so that all microRNAs with a least 85
undetermined values in both groups were removed, see De
Neve et al. (2013) for details.
Arguments
Details
The data exists in different formats. NBdata gives
you a data frame with following variables:
subject:
variable of class "factor",
indicating the subject code.
miRNA:
variable
of class "factor", indicating the miRNA code.
Cq:
variable of class "numeric",
containing the cycle information.
group:
variable of class "factor",
indicating the group code.
The data matrix NBmat contains the same data in
matrix format, where the rows are the different miRNA's and
the columns the different subjects. The vector
NBgroups specifies to which group every column of
NBmat belongs.
References
Mestdagh, P., P. Van Vlierberghe, A. De Weer, D. Muth, F.
Westermann, F. Speleman, and J. Vandesompele (2009) A novel
and universal method for microRNA RT-qPCR data
normalization. Genome Biology., 10, R64.
De Neve, J. Thas, O. Ottoy, J.P. and Clement L. (2013) An
extension of the Wilcoxon-Mann-Whitney test for analyzing
RT-qPCR data. Statistical Applications in Genetics and
Molecular Biology. 12, 333-346.