Unknown

Dataset Information

Identification of targeted analyte clusters for studies of schizophrenia.


ABSTRACT: The search for biomarkers to diagnose psychiatric disorders such as schizophrenia has been underway for decades. Many molecular profiling studies in this field have focused on identifying individual marker signals that show significant differences in expression between patients and the normal population. However, signals for multiple analyte combinations that exhibit patterned behaviors have been less exploited. Here, we present a novel approach for identifying biomarkers of schizophrenia using expression of serum analytes from first onset, drug-naïve patients and normal controls. The strength of patterned signals was amplified by analyzing data in reproducing kernel spaces. This resulted in the identification of small sets of analytes referred to as targeted clusters that have discriminat

SUBMITTER: Cheng TM 

PROVIDER: S-EPMC2849715 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature