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Fig. 2 | Genome Biology

Fig. 2

From: Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data

Fig. 2

Overall performance of workflows. The plots show the aggregate accuracy of all coexpression networks resulting from each individual workflow using a GTEx and b SRA datasets, evaluated based on the tissue-naive gold standard. The workflows (rows) are described in terms of the specific method used in the within-sample normalization (blues), between-sample normalization (greens), and network transformation (oranges) stages. The performance of each workflow is presented as boxplots (without outliers) that summarizes the log2(auPRC/prior) of each workflow where auPRC is the area under the precision recall curve (see the “Methods”). The workflows are ordered by their median log2(auPRC/prior) for the GTEx data. The numbers inside the SRA boxes indicate rank by median log2(auPRC/prior) of the workflows for the SRA data. Figure S2 contains these plots based on the tissue-aware gold standard

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Genome Biology

ISSN: 1474-760X

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