In this talk, we examine several related papers using array-based signatures of drug sensitivity derived from cell lines to predict patient response. Patients in clinical trials were allocated to treatment arms based on these results. However, we show in several case studies that the reported results incorporate several simple errors that could put patients at risk. One theme that emerges is that the most common errors are simple (e.g., row or column offsets); conversely, it is our experience that the most simple errors are common. We briefly discuss steps we are taking to avoid such errors in our own investigations.
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