A single-sample microarray normalization method to facilitate personalized-medicine workflows

► The first completely intrinsic single-sample microarray normalization approach ► Designed for personalized medicine workflows where samples must be processed serially ► Outperforms existing methods on spike-in experiments and 'real-world' data sets ► Amplifies signal-to‐noise ratio by correcting for probe-level biases ► Supports combining data across different Affymetrix microarray platforms