Enhancing Transcriptomic Insights into Neurological Disorders Through the Comparative Analysis of Shapley Values
José A. Castro-Martínez, Eva Vargas, Leticia Díaz-Beltrán, Francisco J. Esteban · 2024
Read Enhancing Transcriptomic Insights into Neurological Disorders Through the Comparative Analysis of Shapley Values by José A. Castro-Martínez, Eva Vargas, Leticia Díaz-Beltrán, Francisco J. Esteban (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11726880.txt.
Description
José Castro-Martínez and co-authors apply a game-theory tool to gene data from brain disorders in this 2024 study. The disorders covered are autism, schizophrenia, bipolar disorder, and major depression, which together affect millions. Their molecular roots stay poorly mapped, and standard gene hunting can miss faint patterns.
Their method, CASh, scores each gene by its contribution across the whole data set, resampling many times for stability. Applied to nine data sets, it found differing genes that older methods overlook. The authors say the sharper gene lists could ground better diagnostic tests. They also see the lists as firmer starting points for targeted treatments. The study positions the method as a robust option for faint-signal data.
Catalog record
| CREATOR | José A. Castro-Martínez, Eva Vargas, Leticia Díaz-Beltrán, Francisco J. Esteban |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |