UT Arlington research team’s work could lead to earlier diagnosis, treatment of mental diseases

Detecting neural glitchesA computer science and engineering associate professor and her doctoral student graduate are using a genetic computer network inference model that eventually could predict whether a person will suffer from bipolar disorder, schizophrenia or another mental illness. The findings are detailed in the paper “Inference of SNP-Gene Regulatory Networks by Integrating Gene Expressions and Genetic Perturbations,” which was published in the June edition of Biomed Research International . The principal investigators were