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New calibration framework reportedly improves confidence in AI virtual cell models
GEN reports that the authors say mean squared error and control-referenced Pearson correlation are frequently miscalibrated.
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GEN reports that a new calibration framework improves confidence in AI virtual cell models. The authors say metrics including mean squared error and control-referenced Pearson correlation are frequently miscalibrated. In an earlier post, NatureBiotech shared a headline describing a Shift Bioscience publication as increasing confidence in AI virtual cells for novel target discovery.
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