Heatmaps of patient similarity for kidney cancer. The similarity scores were measured by the Pearson correlation coefficients based on single data types (DNA methylation, mRNA expression and miRNA expression) and the integrated scores (integrated by direct concatenation, SNF and iBFE). (DOCX 875 kb
Table S1. List of diseases with a significant overlap between genes differentially expressed and gen...
Heatmap representation of the expression patterns of the top 50 genes across all 602 ânormalâ sa...
Scatter plots of gene expression values between samples. A figure illustrating how similar of genes ...
Heatmaps of patient similarity for lung cancer. The similarity scores were measured by the Pearson c...
Figure S3. Clustering dendrograms of genes, with dissimilarity based on topological overlap, togethe...
Figure S1. Single nucleotide polymorphism (SNP) analysis. SNP analysis of 65 genotyping probes on th...
Figure S4. Coefficient between modules and clinical parameters. Pvalue is below coefficient value. (...
Evaluation and comparison of multi-omics data integration methods for cancer subtyping. S1 Fig. Silh...
Figure S5. Weighted Gene Co-expression Network plot of blue module. Red color means hub gene and the...
Many researchers now have available multiple high-dimensional molecular and clinical datasets when s...
Mapping outcome summary. This file contains information on the deep-sequencing data from kidney (raw...
Figure S2. Gene Set Enrichment Analysis (GSEA) analysis between subtypes in breast cancer. (A-F) GSE...
GoF and LoF gene scores for those genes that are mutated in more than 1 % of the samples. (CSV 37.9 ...
Tumor vs Normal 5 sub-gene signatures. The 5 non-joint 83-gene signatures are included, each consist...
Table S2. Title of data: Top ten coding genes correlated with each selected miRNAs. Description of d...
Table S1. List of diseases with a significant overlap between genes differentially expressed and gen...
Heatmap representation of the expression patterns of the top 50 genes across all 602 ânormalâ sa...
Scatter plots of gene expression values between samples. A figure illustrating how similar of genes ...
Heatmaps of patient similarity for lung cancer. The similarity scores were measured by the Pearson c...
Figure S3. Clustering dendrograms of genes, with dissimilarity based on topological overlap, togethe...
Figure S1. Single nucleotide polymorphism (SNP) analysis. SNP analysis of 65 genotyping probes on th...
Figure S4. Coefficient between modules and clinical parameters. Pvalue is below coefficient value. (...
Evaluation and comparison of multi-omics data integration methods for cancer subtyping. S1 Fig. Silh...
Figure S5. Weighted Gene Co-expression Network plot of blue module. Red color means hub gene and the...
Many researchers now have available multiple high-dimensional molecular and clinical datasets when s...
Mapping outcome summary. This file contains information on the deep-sequencing data from kidney (raw...
Figure S2. Gene Set Enrichment Analysis (GSEA) analysis between subtypes in breast cancer. (A-F) GSE...
GoF and LoF gene scores for those genes that are mutated in more than 1 % of the samples. (CSV 37.9 ...
Tumor vs Normal 5 sub-gene signatures. The 5 non-joint 83-gene signatures are included, each consist...
Table S2. Title of data: Top ten coding genes correlated with each selected miRNAs. Description of d...
Table S1. List of diseases with a significant overlap between genes differentially expressed and gen...
Heatmap representation of the expression patterns of the top 50 genes across all 602 ânormalâ sa...
Scatter plots of gene expression values between samples. A figure illustrating how similar of genes ...
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