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Design procedures for testing the analysis workflow and comparing it to the edgeR/limma/Glimma R implementation so that we can ensure reproducibility, test performance, features, parity, upgrades, etc.
This could possibly include things such as:
reproducing DGE analysis from published studies in both the R workflows and the python workflows.
performing DGE analysis on publicly available datasets such as human cell line data, public data from GEO, etc, as long as the datasets are openly available to use.
The text was updated successfully, but these errors were encountered:
Design procedures for testing the analysis workflow and comparing it to the edgeR/limma/Glimma R implementation so that we can ensure reproducibility, test performance, features, parity, upgrades, etc.
This could possibly include things such as:
The text was updated successfully, but these errors were encountered: