cruk.cam.ac.uk This app was developed by Cancer Research Uk Cambridge Institute Source code available on github;

`https://github.com/crukci-bioinformatics/camcAPP`

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A recursive partitioning (RP) analysis [1] is performed to determine if the samples can be split into groups based on the expression data from your chosen gene(s). An RP p-value < 0.05 indicates a significant split. The p-value from RP and cut-off corresponding to a split are shown in the table below
If no cut-off can be found with RP, the samples will be divided according to median expression level in the plots below
A histogram of expression level will be shown with a line to indicate the median expression level or RP cut-off
The grouping of samples found by RP, or using median expression level, is used to construct a Kaplan-Meier plot
The Kaplan-Meier plot is a useful way of summarising survival data. There is one curve for each group. Each curve starts at 100% probability of survival. The probability of freedom from biochemical recurrence is shown on the y axis and the time (in years) is shown on the x axis. The curve drops each time there is an 'event'. A cross is shown on each curve where a 'censoring'' event takes place. This is where someone drops out of the study for a reason not related to the study, e.g. the study ends before an event has occurred. These subjects are no longer included in any calculations. The lower the survival curve the worse prognosis the patients in that group have.

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Construcing a heatmap from the gene list you uploaded in the Analysis Parameters tab. If you haven't uploaded a gene list, an example gene list of three genes will be used
Sample Clustering
Select the number of clusters, k, from the slider

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The Proportion of amplifications and deletions will be shown for your chosen gene(s).

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