Studying Bias, MAQC-II Finds Multiple Factors May Affect Array-Based Predictions

In a dozen papers published last week, the members of the MAQC-II project investigated sources of bias in array-based studies and provided recommendations for best practices for analyzing array data for the prediction of clinical outcomes.

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