SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data.

Journal: Computer methods and programs in biomedicine
PMID: 38091844

Abstract

BACKGROUND: In Diffuse Large B-Cell Lymphoma (DLBCL), several methodologies are emerging to derive novel biomarkers to be incorporated in the risk assessment. We realized a pipeline that relies on autoencoders (AE) and Explainable Artificial Intelligence (XAI) to stratify prognosis and derive a gene-based signature.

Authors

  • Gian Maria Zaccaria
  • Nicola Altini
    Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona n.4, Bari 70126, Italy.
  • Giuseppe Mezzolla
    Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona, 4, Bari 70126, Italy.
  • Maria Carmela Vegliante
    Hematology and Cell Therapy Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Via O. Flacco, 65, Bari 70124, Italy.
  • Marianna Stranieri
    Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona, 4, Bari 70126, Italy.
  • Susanna Anita Pappagallo
    Hematology and Cell Therapy Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Via O. Flacco, 65, Bari 70124, Italy.
  • Sabino Ciavarella
  • Attilio Guarini
  • Vitoantonio Bevilacqua

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