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| 35 | Figure 1: Signature Heatmap. In this heatmap, each row represents a gene in the signature. The first 12 columns are the samples from the train 0 data set, and the remaining 5 columns are the samples from the train 1 data set. Warm colors indicate high expression of the gene, and cool colors indicate low expression. 36 | |
37 | Figure 2: Predictions. This scatter plot shows the predictions from the signature for each sample. On the Y-axis, high probabilities indicate that the gene expression profile of the sample better resembles the train 1 class, while low probabilities indicate a closer resemblance to train 0.The blue and red circles are the predictions (from leave-one-out cross-validation) on the train 0 and train 1 samples, respectively. The black squares are the predictions on the test samples. The error bars show the 95% credible interval. The X-axis, the Metagene Score, is the magnitude of the sample on the first principal component. This is used only to separate the samples on the plot, and we do not further interpret these values. The raw values from this plot are available as a tab-delimited text file: 38 | probabilities.txt 39 | . 40 | |
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| 35 | Figure 1: Signature Heatmap. In this heatmap, each row represents a gene in the signature. The first 12 columns are the samples from the train 0 data set, and the remaining 5 columns are the samples from the train 1 data set. Warm colors indicate high expression of the gene, and cool colors indicate low expression. 36 | |
37 | Figure 2: Predictions. This scatter plot shows the predictions from the signature for each sample. On the Y-axis, high probabilities indicate that the gene expression profile of the sample better resembles the train 1 class, while low probabilities indicate a closer resemblance to train 0.The blue and red circles are the predictions (from leave-one-out cross-validation) on the train 0 and train 1 samples, respectively. The black squares are the predictions on the test samples. The error bars show the 95% credible interval. The X-axis, the Metagene Score, is the magnitude of the sample on the first principal component. This is used only to separate the samples on the plot, and we do not further interpret these values. The raw values from this plot are available as a tab-delimited text file: 38 | probabilities.txt 39 | . 40 | |
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| 36 | Figure 1: Signature Heatmap. In this heatmap, each row represents a gene in the signature. The first 12 columns are the samples from the train 0 data set, and the remaining 5 columns are the samples from the train 1 data set. Warm colors indicate high expression of the gene, and cool colors indicate low expression. 37 | |
38 | Figure 2: Predictions. This scatter plot shows the predictions from the signature for each sample. On the Y-axis, high probabilities indicate that the gene expression profile of the sample better resembles the train 1 class, while low probabilities indicate a closer resemblance to train 0.The blue and red circles are the predictions (from leave-one-out cross-validation) on the train 0 and train 1 samples, respectively. The black squares are the predictions on the test samples. The error bars show the 95% credible interval. The X-axis, the Metagene Score, is the magnitude of the sample on the first principal component. This is used only to separate the samples on the plot, and we do not further interpret these values. The raw values from this plot are available as a tab-delimited text file: 39 | probabilities.txt 40 | . 41 | |
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| 35 | Figure 1: Signature Heatmap. In this heatmap, each row represents a gene in the signature. The first 12 columns are the samples from the train 0 data set, and the remaining 3 columns are the samples from the train 1 data set. Warm colors indicate high expression of the gene, and cool colors indicate low expression. 36 | |
37 | Figure 2: Predictions. This scatter plot shows the predictions from the signature for each sample. On the Y-axis, high probabilities indicate that the gene expression profile of the sample better resembles the train 1 class, while low probabilities indicate a closer resemblance to train 0.The blue and red circles are the predictions (from leave-one-out cross-validation) on the train 0 and train 1 samples, respectively. The black squares are the predictions on the test samples. The error bars show the 95% credible interval. The X-axis, the Metagene Score, is the magnitude of the sample on the first principal component. This is used only to separate the samples on the plot, and we do not further interpret these values. The raw values from this plot are available as a tab-delimited text file: 38 | probabilities.txt 39 | . 40 | |
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| 35 | Figure 1: Signature Heatmap. In this heatmap, each row represents a gene in the signature. The first 12 columns are the samples from the train 0 data set, and the remaining 3 columns are the samples from the train 1 data set. Warm colors indicate high expression of the gene, and cool colors indicate low expression. 36 | |
37 | Figure 2: Predictions. This scatter plot shows the predictions from the signature for each sample. On the Y-axis, high probabilities indicate that the gene expression profile of the sample better resembles the train 1 class, while low probabilities indicate a closer resemblance to train 0.The blue and red circles are the predictions (from leave-one-out cross-validation) on the train 0 and train 1 samples, respectively. The black squares are the predictions on the test samples. The error bars show the 95% credible interval. The X-axis, the Metagene Score, is the magnitude of the sample on the first principal component. This is used only to separate the samples on the plot, and we do not further interpret these values. The raw values from this plot are available as a tab-delimited text file: 38 | probabilities.txt 39 | . 40 | |
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| 35 | Figure 1: Signature Heatmap. In this heatmap, each row represents a gene in the signature. The first 12 columns are the samples from the train 0 data set, and the remaining 3 columns are the samples from the train 1 data set. Warm colors indicate high expression of the gene, and cool colors indicate low expression. 36 | |
37 | Figure 2: Predictions. This scatter plot shows the predictions from the signature for each sample. On the Y-axis, high probabilities indicate that the gene expression profile of the sample better resembles the train 1 class, while low probabilities indicate a closer resemblance to train 0.The blue and red circles are the predictions (from leave-one-out cross-validation) on the train 0 and train 1 samples, respectively. The black squares are the predictions on the test samples. The error bars show the 95% credible interval. The X-axis, the Metagene Score, is the magnitude of the sample on the first principal component. This is used only to separate the samples on the plot, and we do not further interpret these values. The raw values from this plot are available as a tab-delimited text file: 38 | probabilities.txt 39 | . 40 | |
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| 35 | Figure 1: Signature Heatmap. In this heatmap, each row represents a gene in the signature. The first 12 columns are the samples from the train 0 data set, and the remaining 3 columns are the samples from the train 1 data set. Warm colors indicate high expression of the gene, and cool colors indicate low expression. 36 | |
37 | Figure 2: Predictions. This scatter plot shows the predictions from the signature for each sample. On the Y-axis, high probabilities indicate that the gene expression profile of the sample better resembles the train 1 class, while low probabilities indicate a closer resemblance to train 0.The blue and red circles are the predictions (from leave-one-out cross-validation) on the train 0 and train 1 samples, respectively. The black squares are the predictions on the test samples. The error bars show the 95% credible interval. The X-axis, the Metagene Score, is the magnitude of the sample on the first principal component. This is used only to separate the samples on the plot, and we do not further interpret these values. The raw values from this plot are available as a tab-delimited text file: 38 | probabilities.txt 39 | . 40 | |
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