DeeP4med: deep learning for P4 medicine to predict normal and cancer transcriptome in multiple human tissues.

Journal: BMC bioinformatics
Published Date: Jul 4, 2023

Abstract

BACKGROUND: P4 medicine (predict, prevent, personalize, and participate) is a new approach to diagnosing and predicting diseases on a patient-by-patient basis. For the prevention and treatment of diseases, prediction plays a fundamental role. One of the intelligent strategies is the design of deep learning models that can predict the state of the disease using gene expression data.

Authors

  • Roohallah Mahdi-Esferizi
    Department of Medical Biotechnology, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran.
  • Behnaz Haji Molla Hoseyni
    Laboratory of Systems Biology and Bioinformatics (LBB), University of Tehran, Tehran, Iran.
  • Amir Mehrpanah
    Faculty of Mathematics, Shahid Beheshti University, Tehran, Iran.
  • Yazdan Golzade
    Department of Mathematics, Faculty of Basic Sciences, Iran University of Science and Technology,(IUST), Tehran, Iran.
  • Ali Najafi
    Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA. vsiyer@uw.edu gshyam@uw.edu.
  • Fatemeh Elahian
    Department of Medical Biotechnology, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran.
  • Amin Zadeh Shirazi
    Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran. amin.zadeshirazy@gmail.com.
  • Guillermo A Gomez
    Centre for Cancer Biology, SA Pathology and University of South Australia, UniSA CRI Building, North Terrace, Adelaide, SA, 5001, Australia. Guillermo.Gomez@unisa.edu.au.
  • Shahram Tahmasebian
    School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran.

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