The Marker State Space (MSS) method for classifying clinical samples.

ABSTRACT: The development of accurate clinical biomarkers has been challenging in part due to the diversity between patients and diseases. One approach to account for the diversity is to use multiple markers to classify patients, based on the concept that each individual marker contributes information from its respective subclass of patients. Here we present a new strategy for developing biomarker panels that accounts for completely distinct patient subclasses. Marker State Space (MSS) defines "marker states" based on all possible patterns of high and low values among a panel of markers. Each marker state is defined as either a case state or a control state, and a sample is classified as case or control based on the state it occupies. MSS was used to define multi-marker panels that were robust in cr

SUBMITTER: Fallon BP 

PROVIDER: S-EPMC3672150 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature