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    How to consider false positive rate when there is only one true positive?

    OK, sorry for not being clear. Let me try to use a toy example. Let's say we have a bag with 1 red ball and 200 white balls. The problem is to find the red ball without using our vision (or can't use the color to pick the red ball out). Each ball has many other characteristics (e.g. shape, size...
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    How to consider false positive rate when there is only one true positive?

    I'm new to this forum and also not too well versed in statistics. We are working on an algorithm to predict the most likely causal gene from a group of genes of size n that only contains one true positive. If we rank all the genes in this group, we have X% probability of predicting the true...