This dataset contains a data.frame of \(t\)-scores (from a Linear
mixed effects model) and \(p\)-values for the
differential expression between pre (Im, N) and post germinal (M, PB) centre
cells within peripheral blood.
The first and second column contain the the test for the hypothesis of no
differential expression between pre and post germinal cells for the
freshly sorted and gene profiled cells.
The third and fourth column contain the the test for the hypothesis of no
differential expression between pre and post germinal cells for the
cryopreserved (frozen), thawed, sorted, and gene profiled cells.
The fifth and sixth column contain the the test for the hypothesis of no
differential expression between fresh and frozen cells.
The used array type was Affymetrix Human Exon 1.0 ST microarray.
Format
The format of the data.frame is:
'data.frame': 18708 obs. of 6 variables:
$ PreVsPost.Fresh.tstat : num -1.073 -0.381 -1.105 -0.559 -1.054 ...
$ PreVsPost.Fresh.pval : num 0.283 0.703 0.269 0.576 0.292 ...
$ PreVsPost.Frozen.tstat: num -0.245 -0.731 -0.828 -0.568 -1.083 ...
$ PreVsPost.Frozen.pval : num 0.806 0.465 0.408 0.57 0.279 ...
$ FreshVsFrozen.tstat : num 0.836 1.135 -0.221 0.191 -0.783 ...
$ FreshVsFrozen.pval : num 0.403 0.256 0.825 0.849 0.434 ...
Details
Further details can be found in Rasmussen and Bilgrau et al. (2015).
References
Rasmussen SM, Bilgrau AE, Schmitz A, Falgreen S, Bergkvist KS, Tramm AM, Baech J, Jacobsen CL, Gaihede M, Kjeldsen MK, Boedker JS, Dybkaer K, Boegsted M, Johnsen HE (2015). "Stable Phenotype Of B-Cell Subsets Following Cryopreservation and Thawing of Normal Human Lymphocytes Stored in a Tissue Biobank." Cytometry Part B: Clinical Cytometry, 88(1), 40-49.
Author
Anders Ellern Bilgrau <anders.ellern.bilgrau@gmail.com>
Examples
#> 'data.frame': 18708 obs. of 6 variables: #> $ PreVsPost.Fresh.tstat : num -1.073 -0.381 -1.105 -0.559 -1.054 ... #> $ PreVsPost.Fresh.pval : num 0.283 0.703 0.269 0.576 0.292 ... #> $ PreVsPost.Frozen.tstat: num -0.245 -0.731 -0.828 -0.568 -1.083 ... #> $ PreVsPost.Frozen.pval : num 0.806 0.465 0.408 0.57 0.279 ... #> $ FreshVsFrozen.tstat : num 0.836 1.135 -0.221 0.191 -0.783 ... #> $ FreshVsFrozen.pval : num 0.403 0.256 0.825 0.849 0.434 ...
