Number of SAMseq failed iterations. Iteration was counted as a failure if SAMseq was not successfully run due to an error message. Bars represent count of failures, colored by read depth. (PDF 142 kb
Table of number of significant genes identified, for each workflow against each reference dataset. (...
EdgeR results from unique counts. Differential expression results calculated by edgeR for gene count...
Requirement Analysis Result.pdf — Requirement Analysis Result. Detailed description of requirement a...
Sample combinations for each iteration at varying sample numbers. The same sample combinations were ...
Impact on rank performance by read depth and sample number. Rank precision and rank recall, averaged...
Impact on performance by read depth and sample number. Precision and recall, averaged over the 10 it...
Analysis workflow steps' impact on performance. Precision and recall for each iteration, separated b...
Number of significant genes by number of biological replicates. Bar represents average number of sig...
Interactive figure for comparison of performance metrics. (A) Absolute precision and recall for each...
Literature survey citations and average sample number. 200 studies containing RNA-Seq differential e...
Counts and FPKM for simulated data from 958 problematic genes. FPKM and read counts calculated by 12...
Figure of similarity in performance characteristics of significant gene identification by limma and ...
Figure of recall and precision, for each reference dataset. Precision and recall as assessed using t...
Table S1. Statistics of RNA-Seq quality reads. Table S2. Mapping results. Table S3. Validation of dC...
Vignette on the comparison based on expression analysis. Figure S1 to S9. Experiment design and cont...
Table of number of significant genes identified, for each workflow against each reference dataset. (...
EdgeR results from unique counts. Differential expression results calculated by edgeR for gene count...
Requirement Analysis Result.pdf — Requirement Analysis Result. Detailed description of requirement a...
Sample combinations for each iteration at varying sample numbers. The same sample combinations were ...
Impact on rank performance by read depth and sample number. Rank precision and rank recall, averaged...
Impact on performance by read depth and sample number. Precision and recall, averaged over the 10 it...
Analysis workflow steps' impact on performance. Precision and recall for each iteration, separated b...
Number of significant genes by number of biological replicates. Bar represents average number of sig...
Interactive figure for comparison of performance metrics. (A) Absolute precision and recall for each...
Literature survey citations and average sample number. 200 studies containing RNA-Seq differential e...
Counts and FPKM for simulated data from 958 problematic genes. FPKM and read counts calculated by 12...
Figure of similarity in performance characteristics of significant gene identification by limma and ...
Figure of recall and precision, for each reference dataset. Precision and recall as assessed using t...
Table S1. Statistics of RNA-Seq quality reads. Table S2. Mapping results. Table S3. Validation of dC...
Vignette on the comparison based on expression analysis. Figure S1 to S9. Experiment design and cont...
Table of number of significant genes identified, for each workflow against each reference dataset. (...
EdgeR results from unique counts. Differential expression results calculated by edgeR for gene count...
Requirement Analysis Result.pdf — Requirement Analysis Result. Detailed description of requirement a...
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