Machine Learning and Bioinformatics Framework Integration to Potential Familial DCM-Related Markers Discovery.

Journal: Genes
Published Date: Dec 2, 2021

Abstract

OBJECTIVES: Dilated cardiomyopathy (DCM) is characterized by a specific transcriptome. Since the DCM molecular network is largely unknown, the aim was to identify specific disease-related molecular targets combining an original machine learning (ML) approach with protein-protein interaction network.

Authors

  • Concetta Schiano
    Clinical Department of Internal Medicine and Specialistics, Department of Advanced Clinical and Surgical Sciences, University of Campania "Luigi Vanvitelli".
  • Monica Franzese
    IRCCS SDN, 80121 Naples, Italy.
  • Filippo Geraci
    Institute of Informatics and Telematics (IIT), National Research Council (CNR), Pisa, 56124, Italy.
  • Mario Zanfardino
    IRCCS SDN, 80121 Naples, Italy.
  • Ciro Maiello
    Department of Cardiovascular Surgery and Transplant, Azienda dei Colli, Monaldi Hospital, 80131 Naples, Italy.
  • Vittorio Palmieri
    Department of Cardiovascular Surgery and Transplant, Azienda dei Colli, Monaldi Hospital, 80131 Naples, Italy.
  • Andrea Soricelli
    SDN-Istituto di Ricerca Diagnostica e Nucleare, IRCCS, Naples, Italy; and.
  • Vincenzo Grimaldi
    IRCCS SDN, 80121 Naples, Italy.
  • Enrico Coscioni
    Division of Cardiac Surgery, AOU San Giovanni di Dio e Ruggid'Aragona, 84131 Salerno, Italy.
  • Marco Salvatore
    SDN-Istituto di Ricerca Diagnostica e Nucleare, IRCCS, Naples, Italy; and.
  • Claudio Napoli
    Clinical Department of Internal Medicine and Specialistics, Department of Advanced Clinical and Surgical Sciences, University of Campania "Luigi Vanvitelli".

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