A deep learning approach to predict inter-omics interactions in multi-layer networks.

Journal: BMC bioinformatics
Published Date: Jan 26, 2022

Abstract

BACKGROUND: Despite enormous achievements in the production of high-throughput datasets, constructing comprehensive maps of interactions remains a major challenge. Lack of sufficient experimental evidence on interactions is more significant for heterogeneous molecular types. Hence, developing strategies to predict inter-omics connections is essential to construct holistic maps of disease.

Authors

  • Niloofar Borhani
    Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
  • Jafar Ghaisari
    Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran. ghaisari@iut.ac.ir.
  • Maryam Abedi
    Regenerative Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Marzieh Kamali
    Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
  • Yousof Gheisari
    Regenerative Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. ygheisari@med.mui.ac.ir.

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