Castro-Martínez, J.A.; Vargas, E.; Díaz-Beltrán, L.; Esteban, F.J. Comparative Analysis of Shapley Values Enhances Transcriptomics Insights across Some Common Uterine Pathologies. Preprints2024, 2024040931. https://doi.org/10.20944/preprints202404.0931.v1
APA Style
Castro-Martínez, J.A., Vargas, E., Díaz-Beltrán, L., & Esteban, F.J. (2024). Comparative Analysis of Shapley Values Enhances Transcriptomics Insights across Some Common Uterine Pathologies. Preprints. https://doi.org/10.20944/preprints202404.0931.v1
Chicago/Turabian Style
Castro-Martínez, J.A., Leticia Díaz-Beltrán and Francisco J. Esteban. 2024 "Comparative Analysis of Shapley Values Enhances Transcriptomics Insights across Some Common Uterine Pathologies" Preprints. https://doi.org/10.20944/preprints202404.0931.v1
Abstract
Uterine pathologies pose a challenge to women’s health on a global scale. Despite extensive research, the causes and origin of some of these common disorders are not well defined yet. This study presents a comprehensive analysis of transcriptome data from diverse datasets encompassing relevant uterine pathologies such as endometriosis, endometrial cancer and uterine leiomyomas. Leveraging the Comparative Analysis of Shapley values (CASh) technique, we demonstrate its efficacy in improving the outcomes of classical differential expression analysis on transcriptomic data derived from microarray experiments. CASh integrates the Microarray game algorithm with Bootstrap resampling, offering a robust statistical framework to mitigate the impact of potential outliers in the expression data. Our findings unveil novel insights into the molecular signatures underlying these gynecological disorders, highlighting CASh as a valuable tool for enhancing the precision of transcriptomics analyses in complex biological contexts. This research contributes to a deeper understanding of gene expression patterns and potential biomarkers associated with these pathologies, offering implications for future diagnostic and therapeutic strategies.
Keywords
endometrial cancer; endometriosis; microarrays; systems biology; transcriptomics; uterine leiomyomas
Subject
Biology and Life Sciences, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
