Table S1. Consensus sequence and gene rank correlation with case-control pairs using different methods. Differentially expressed genes were selected using adjusted p 1. Consensus sequences are defined as overlapping differential expression sequences with same directionality in log fold change. Rank correlation is the Spearman’s rank correlation of differential expression (fold change) between the consensus sequences computed from multiple methods (see workflow) and case-control pairs. Unless otherwise stated all rank correlation have p values < 0.01. (XLSX 11 kb
Figure S1. P value distributions calculated as part of the generation of predictive models for metab...
Figure S2. Trade-off on the number of genes in the dataset basing of motif similarity threshold to t...
Figure S1. Histograms of Spearman correlations between normalization factors and raw counts of non-d...
Full table for differential correlation output from the PTEN mutation study. The output of running D...
Figure S2. Correlation of mutual information scores across platforms. Top and bottom panels show the...
Figure S1. The Ras superfamily and regulators. Figure S2. Gene expression datasets analysed in this ...
Confect ranking of breast cancer dataset with 10 patients. Confect ranking using data only from 10 r...
Figure S1. Evaluation of consensus clustering of the breast cancer dataset from k = 2 to k = 10. (A)...
Scatter plots of gene expression values between samples. A figure illustrating how similar of genes ...
Complete confect ranking of breast cancer dataset. Confect ranking of breast cancer dataset at 5% FD...
Table S3. Drug repositioning hypotheses based on the significance of the overlap between genes genet...
Figure S1. Profiling the SNPs in cancer-related genes and other genes. a Exonic SNP density in cance...
<p>Identification and ranking of differentially expressed genes (DEGs) from individual studies using...
Figure S4. LncRNA--coding gene interaction frequency and nuclear localization are associated with hi...
Spearmanâs correlation to RT-qPCR data of 30 genes. Correlation coefficients (x-axis) of 30 genes ...
Figure S1. P value distributions calculated as part of the generation of predictive models for metab...
Figure S2. Trade-off on the number of genes in the dataset basing of motif similarity threshold to t...
Figure S1. Histograms of Spearman correlations between normalization factors and raw counts of non-d...
Full table for differential correlation output from the PTEN mutation study. The output of running D...
Figure S2. Correlation of mutual information scores across platforms. Top and bottom panels show the...
Figure S1. The Ras superfamily and regulators. Figure S2. Gene expression datasets analysed in this ...
Confect ranking of breast cancer dataset with 10 patients. Confect ranking using data only from 10 r...
Figure S1. Evaluation of consensus clustering of the breast cancer dataset from k = 2 to k = 10. (A)...
Scatter plots of gene expression values between samples. A figure illustrating how similar of genes ...
Complete confect ranking of breast cancer dataset. Confect ranking of breast cancer dataset at 5% FD...
Table S3. Drug repositioning hypotheses based on the significance of the overlap between genes genet...
Figure S1. Profiling the SNPs in cancer-related genes and other genes. a Exonic SNP density in cance...
<p>Identification and ranking of differentially expressed genes (DEGs) from individual studies using...
Figure S4. LncRNA--coding gene interaction frequency and nuclear localization are associated with hi...
Spearmanâs correlation to RT-qPCR data of 30 genes. Correlation coefficients (x-axis) of 30 genes ...
Figure S1. P value distributions calculated as part of the generation of predictive models for metab...
Figure S2. Trade-off on the number of genes in the dataset basing of motif similarity threshold to t...
Figure S1. Histograms of Spearman correlations between normalization factors and raw counts of non-d...