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Biosignature Discovery for Substance Use Disorders Using Statistical Learning
2018
Trends in Molecular Medicine
There are limited biomarkers for substance use disorders (SUDs). Traditional statistical approaches are identifying simple biomarkers in large samples, but clinical use cases are still being established. High-throughput clinical, imaging and "omic" technologies are generating data from SUD studies and may lead to more sophisticated and clinically useful models. However, analytic strategies suited for high dimensional data are not regularly used. We review strategies for identifying biomarkers
doi:10.1016/j.molmed.2017.12.008
pmid:29409736
pmcid:PMC5836808
fatcat:ubbbuswxtfbirgnar3vwidlpda