A multimodal deep learning model to infer cell-type-specific functional gene networks.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Functional gene networks (FGNs) capture functional relationships among genes that vary across tissues and cell types. Construction of cell-type-specific FGNs enables the understanding of cell-type-specific functional gene relationships and insights into genetic mechanisms of human diseases in disease-relevant cell types. However, most existing FGNs were developed without consideration of specific cell types within tissues.

Authors

  • Shiva Afshar
    Department of Industrial Engineering, University of Houston, Houston, TX, 77204, USA.
  • Patricia R Braun
    Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD 21287.
  • Shizhong Han
    12 Sigma Technologies, San Diego, CA 92130, USA.
  • Ying Lin
    Clinical Laboratory, Dongzhimen Hospital Affiliated to BUCM, Beijing, China.