selex

<p>This data set gives the differential abundance of 1600 enzyme variants
grown under selective (NS) and selective (S) conditions</p>

datasets

A set of tests for compositional pathologies. Tests for coherence of correlations with aIc.coherent() as suggested by (Erb et al. (2020) <doi:10.1016/j.acags.2020.100026>),  compositional dominance of distance with aIc.dominant(), compositional perturbation invariance with aIc.perturb() as suggested by (Aitchison (1992) <doi:10.1007/BF00891269>) and singularity of the covariation matrix with aIc.singular(). Currently tests five data transformations: prop, clr, TMM, TMMwsp, and RLE from the R packages 'ALDEx2', 'edgeR' and 'DESeq2' (Fernandes et al (2014) <doi:10.1186/2049-2618-2-15>, Anders et al. (2013)<doi:10.1038/nprot.2013.099>).

Greg Gloor

Testing for Compositional Pathologies in Datasets

selex function

<p>A data frame with 14 columns and 1600 rows</p>

selex: Selection-based differential sequence variant abundance dataset

Description

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