The Scatter Survival plot shows the clinical status for all individuals in the patient cohort, based on the same data as in the Kaplan-Meier plots. Living patients are shown in blue and deceased patients in red. The x-axis shows the expression levels (FPKM) of the investigated gene at the time of diagnosis and the y-axis shows the number of years of survival (living years) after the diagnosis.

Individual patient data is displayed in an interactive plot and can be filtered by clicking on one or several category buttons to the left. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be changed to "x linear" by clicking on the "x log" button on the left. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

RNA-seq data is reported as median FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

The Scatter Survival plot shows the clinical status for all individuals in the patient cohort, based on the same data as in the Kaplan-Meier plots. Living patients are shown in blue and deceased patients in red. The x-axis shows the expression levels (FPKM) of the investigated gene at the time of diagnosis and the y-axis shows the number of years of survival (living years) after the diagnosis.

Individual patient data is displayed in an interactive plot and can be filtered by clicking on one or several category buttons to the left. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be changed to "x linear" by clicking on the "x log" button on the left. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

RNA-seq data is reported as median FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

The Scatter Survival plot shows the clinical status for all individuals in the patient cohort, based on the same data as in the Kaplan-Meier plots. Living patients are shown in blue and deceased patients in red. The x-axis shows the expression levels (FPKM) of the investigated gene at the time of diagnosis and the y-axis shows the number of years of survival (living years) after the diagnosis.

Individual patient data is displayed in an interactive plot and can be filtered by clicking on one or several category buttons to the left. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be changed to "x linear" by clicking on the "x log" button on the left. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

RNA-seq data is reported as median FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.