Gene expression profiling remains cost-prohibitive and challenging to implement in a clinical setting. Now, a molecular computation strategy for classifying complex gene expression signatures has been developed. Classification occurs through a series of molecular interactions between RNA inputs and engineered DNA probes designed to implement a relevant linear classification model.