A dataset containing single-cell phenotypic data
A data frame or matrix n.cell rows x y.phenotypes columns
The phenotype table contains several traits that mimic what you would collect as clinical phenotypes. Binary e.g. yes/no codes a 0/1. Categorical, usually strings, e.g. low, medium, high. Quantitative numerical measurments from assays, or as simple as height or body weight. A few random traits to use as controls.
cellID, single-cell ID. By default, the rownames will be used by buildCNR as the cellID. It is imperative that the rownames are used as cellID, if you have a column called 'cellID' it will be re-written.
binary1, binary trait 1
binary2, binary trait 2
category1, categorical trait 1
category2, categorical trait 2
quantitative1, quantitative trait 1
quantitative2, quantitative trait 2
random1, random trait 1
random2, random trait 2
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