GeneDX-PBMC: An adversarial autoencoder framework for unlocking Alzheimer's disease biomarkers using blood single-cell RNA sequencing data.

Journal: Computers in biology and medicine
Published Date: Apr 30, 2025

Abstract

OBJECTIVE: To identify blood-based biomarkers and therapeutic targets for Alzheimer's disease (AD) by leveraging single-cell RNA sequencing (scRNA-seq) data from peripheral blood mononuclear cells (PBMCs) and advanced deep learning techniques.

Authors

  • Hediyeh Talebi
    Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid-Beheshti University, Tehran, Iran.
  • Shokoofeh Ghiam
    School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
  • Asiyeh Mirzaei Koli
    Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid-Beheshti University, Tehran, Iran.
  • Pourya Naderi Yeganeh
    Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
  • Changiz Eslahchi
    Department of Computer Sciences, Faculty of Mathematics, Shahid Beheshti University, Tehran, Iran; School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.

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