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Welcome to the RCDML wiki!

RCDML

The RNA-seq Count Drug-response Machine Learning (RCDML) Workflow is a ML workflow that can be used for drug response classification of rare disease patients. Given drug response data and RNA-seq count data, the model follows the ML workflow below to classify patients as "high responder" or "low responder" for a given inhibitor.

The ML pipeline was evaluated using RNA-seq count and drug response data available for Acute Myeloid Leukemia (AML) patients and over 100 different drugs as part of the BeatAML project.

Getting Started:

1. Setting up the Python environment
2. Modifying the configuration file and running the RCDML pipeline
3. Using the tools to gather results