Enhancing Transcriptomic Insights into Neurological Disorders Through the Comparative Analysis of Shapley Values.

ABSTRACT: Neurological disorders such as Autism Spectrum Disorder (ASD), Schizophrenia (SCH), Bipolar Disorder (BD), and Major Depressive Disorder (MDD) affect millions of people worldwide, yet their molecular mechanisms remain poorly understood. This study describes the application of the Comparative Analysis of Shapley values (CASh) to transcriptomic data from nine datasets associated with these complex disorders, demonstrating its effectiveness in identifying differentially expressed genes (DEGs). CASh, which combines Game Theory with Bootstrap resampling, offers a robust alternative to traditional statistical methods by assessing the contribution of each gene in the broader context of the complete dataset. Unlike conventional approaches, CASh is highly effective at detecting subtle but meaningfu

SUBMITTER: Castro-Martinez JA 

PROVIDER: S-EPMC11726880 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature