Multidimensional scaling analysis of samples from five datasets. Multidimensional scaling of samples assessed in this study plotted in two dimensions. Samples are colored by tissue, with the shape corresponding to the species. Within each shape is a one-letter code representing the dataset of origin. All samples were plotted for Brawand, Lin1, Lin2, and Merkin, along with corresponding tissues from GTex. (PDF 100 kb
Distributions of microbiome communities generated for simulation experiments in terms of percentage ...
Literature survey citations and average sample number. 200 studies containing RNA-Seq differential e...
A list of microarray databases analyzed in the present study. Sample number indicates the number of ...
Contains a complete description of all samples and accessions used in this study including the Lin2 ...
Clustering in PCA analysis is influenced by the composition of the dataset as a whole. a Heat map of...
Expression estimates of genes are consistent across two independent analysis pipelines. RNA-Seq expr...
Outline of meta-profile generation using COO classification. Upper panel: the data sets used. Please...
Figure S1. The histograms of k-mer occurrence frequencies in two human RNA-Seq datasets. (PDF 154 kb
Figure S1. Distribution of RNA types from de novo RNA analysis pipeline for primary NHL and normal B...
Bland-Altman log-ratio(M) - log average (A) plots comparing gene expression in BLM-1 to BLM-2, which...
Animated density plots of log-transformed counts when including more tissues, related to Fig. 1. G...
Figure S2. Scatterplot of normalization factors for each pair of scaling methods. Normalization fact...
Heatmap of the 15 most variable genes in the GTEx heart samples post filtering, related to Figs. 1 ...
Results for Cheung’s RNA-seq count data. For (a–b), Bootstrapping results for Cheung data comparing ...
Scatter plots of gene expression values between samples. A figure illustrating how similar of genes ...
Distributions of microbiome communities generated for simulation experiments in terms of percentage ...
Literature survey citations and average sample number. 200 studies containing RNA-Seq differential e...
A list of microarray databases analyzed in the present study. Sample number indicates the number of ...
Contains a complete description of all samples and accessions used in this study including the Lin2 ...
Clustering in PCA analysis is influenced by the composition of the dataset as a whole. a Heat map of...
Expression estimates of genes are consistent across two independent analysis pipelines. RNA-Seq expr...
Outline of meta-profile generation using COO classification. Upper panel: the data sets used. Please...
Figure S1. The histograms of k-mer occurrence frequencies in two human RNA-Seq datasets. (PDF 154 kb
Figure S1. Distribution of RNA types from de novo RNA analysis pipeline for primary NHL and normal B...
Bland-Altman log-ratio(M) - log average (A) plots comparing gene expression in BLM-1 to BLM-2, which...
Animated density plots of log-transformed counts when including more tissues, related to Fig. 1. G...
Figure S2. Scatterplot of normalization factors for each pair of scaling methods. Normalization fact...
Heatmap of the 15 most variable genes in the GTEx heart samples post filtering, related to Figs. 1 ...
Results for Cheung’s RNA-seq count data. For (a–b), Bootstrapping results for Cheung data comparing ...
Scatter plots of gene expression values between samples. A figure illustrating how similar of genes ...
Distributions of microbiome communities generated for simulation experiments in terms of percentage ...
Literature survey citations and average sample number. 200 studies containing RNA-Seq differential e...
A list of microarray databases analyzed in the present study. Sample number indicates the number of ...