Comparison of DEGs obtained from individual pipelines for the Blekhman’s count data. Sheet 1: Numbers of DEGs satisfying the 5 % FDR threshold and the overlaps between all pairs of pipelines are shown. The presentation method is the same as in table 1 in [28]: the numbers on the diagonal are highlighted in bold. Sheet 2: The corresponding Jaccard coefficients are shown. (XLSX 13 kb
Simulated data benchmark performance. This table contains the precision and recall estimates for sev...
Table S2. This table compares the p values and q values of differential expression analysis by edgeR...
Differential expression analysis of protein-coding genes. (a) Comparison of measured fold-changes be...
Classification of expression patterns for DEGs (based on EBSeq). EBSeq defines a total of five possi...
Average AUC values for simulation data with various options. Average AUC values of 100 trials are sh...
R code for obtaining results of Blekhmanâs count data. After execution of this R-code, full result...
Dendrogram of average-linkage hierarchical clustering for the Blekhmanâs count data. Results of sa...
of methods for differential expression analysis on multi-group RNA-seq count data Min Tang†, Jianqia...
Table S3. This table compares the sensitivity (true-positive rate) achieved by different normalizati...
Dendrogram of average-linkage hierarchical clustering for 12 ranked gene lists. Twelve ranked gene l...
Figure of recall and precision, for each reference dataset. Precision and recall as assessed using t...
Venn diagram of HD analysis results using DA method. Each colored circle represents a different regr...
R code for obtaining simulation results with replicates (Table 1 ). After execution of this R-code ...
Results for Cheung’s RNA-seq count data. For (a–b), Bootstrapping results for Cheung data comparing ...
Inference for two-sample T-statistic, NaĂŻve LRT implementation, Publicly available RNA-seq datasets...
Simulated data benchmark performance. This table contains the precision and recall estimates for sev...
Table S2. This table compares the p values and q values of differential expression analysis by edgeR...
Differential expression analysis of protein-coding genes. (a) Comparison of measured fold-changes be...
Classification of expression patterns for DEGs (based on EBSeq). EBSeq defines a total of five possi...
Average AUC values for simulation data with various options. Average AUC values of 100 trials are sh...
R code for obtaining results of Blekhmanâs count data. After execution of this R-code, full result...
Dendrogram of average-linkage hierarchical clustering for the Blekhmanâs count data. Results of sa...
of methods for differential expression analysis on multi-group RNA-seq count data Min Tang†, Jianqia...
Table S3. This table compares the sensitivity (true-positive rate) achieved by different normalizati...
Dendrogram of average-linkage hierarchical clustering for 12 ranked gene lists. Twelve ranked gene l...
Figure of recall and precision, for each reference dataset. Precision and recall as assessed using t...
Venn diagram of HD analysis results using DA method. Each colored circle represents a different regr...
R code for obtaining simulation results with replicates (Table 1 ). After execution of this R-code ...
Results for Cheung’s RNA-seq count data. For (a–b), Bootstrapping results for Cheung data comparing ...
Inference for two-sample T-statistic, NaĂŻve LRT implementation, Publicly available RNA-seq datasets...
Simulated data benchmark performance. This table contains the precision and recall estimates for sev...
Table S2. This table compares the p values and q values of differential expression analysis by edgeR...
Differential expression analysis of protein-coding genes. (a) Comparison of measured fold-changes be...