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Case Study, Drug Discovery

Bias Reduction in HCS Data

PURPOSE: Quantify and correct bias from high-content screening (HCS) data INPUT: Chemical structures, morphological properties (or original images) OUTPUT: Dynamic workflow that integrates bias removal and mechanism prediction USE CASE: Batch effects are a common issue when dealing with high througput assays, often resulting in patterns within the data unrelated

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