High-Throughput Chemical Screening Data Processor

Design a modular Python pipeline for processing high-throughput chemical screening datasets from drug discovery experiments. Create functions to handle multi-plate assay data, implement advanced statistical normalization techniques, detect outliers using machine learning algorithms, and generate comprehensive dose-response curve analyses. The script must support multiple input formats, provide interactive Plotly visualizations, and export results in both human-readable and machine-parseable formats.