HD: Sample flow cytometry data from healthy individuals
In azadcse/flowVS: Variance stabilization in flow cytometry (and microarrays)

A flowSet cotaining 12 flow cytometry samples from three healthy individuals "A", "C", and "D". From each individual, the samples were drawn on two different days and two technical replicates were created from each sample (i.e., 3 x 2 x 2 = 12 samples). Each HD sample was stained using labeled antibodies against CD45, CD3, CD4, CD8, and CD19 protein markers. Here, an HD sample "C_4_2" means that it is collected on day 4 from individual "C" and it is the second replicate on that day. We have identified lymphocytes in each sample of the HD dataset and apply the subsequent analysis on lymphocytes.

data(HD)

A flowSet containing 12 flowFrames. There are 3 subject groups with 4 samples each (2 days and 2 technical replicates per day).

Ariful Azad, Arif Khan, Bartek Rajwa, Saumyadipta Pyne, and Alex Pothen, "Classifying immunophenotypes with templates from flow cytometry", In Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM BCB), 2013.

azadcse/flowVS documentation built on Dec. 19, 2021, 6:37 a.m.