AssayCorrector

AssayCorrector corrects multiplicative spatial bias in high-throughput screening (HTS) and high-content screening (HCS) data to improve measurement accuracy for drug discovery and chemical toxicity studies.

Key Features:

• Multiplicative Spatial Bias Correction: Specifically targets multiplicative spatial biases rather than only additive biases to improve data reliability from HTS and HCS experiments.
• Three Novel Statistical Methods: Implements three novel statistical methods tailored to mitigate multiplicative spatial bias, with reported superior performance compared to traditional bias correction techniques.
• Comprehensive Data Correction Protocol: Integrates correction for both assay-specific and plate-specific biases, addressing additive and multiplicative components.
• General Applicability: Methods are designed for general use across current and next-generation high-throughput screens.
• Implementation: Implemented in R.

Scientific Applications:

• Drug discovery: Improves hit selection accuracy in HTS and HCS workflows by reducing false positives and false negatives caused by spatial bias.
• Chemical toxicity studies: Enhances the reliability of screening data used to assess compound toxicity in high-throughput assays.

Methodology:

The methodology detects multiplicative spatial biases, applies three novel statistical methods to correct multiplicative and additive assay- and plate-specific biases, and evaluates performance on synthetic and real datasets.