A multi-phase approach using supervised algorithms and clinical models to generate high-accuracy signatures for pancreatic cancer.

Journal: Computers in biology and medicine
Published Date: Aug 1, 2025

Abstract

BACKGROUND: The in silico analyses provide evidence supporting the potential of methylation-driven differentially expressed genes as therapeutic targets across cancer types. This leads us to identify novel targets and their associated drug compounds for further progress towards pancreatic cancer treatment.

Authors

  • Akash Bararia
    Human Genetics Unit, Indian Statistical Institute, Kolkata, India.
  • Agniswar Chakraborty
    Department of Computer Science, Jadavpur University, Kolkata, India.
  • Gourav Ghosh
    Guru Nanak Institute of Pharmaceutical Science & Technology, West Bengal, India.
  • Debabrata Ghosh Dastidar
    Guru Nanak Institute of Pharmaceutical Science & Technology, West Bengal, India.
  • Sumit Mukherjee
    National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, USA; Department of Computer Science, Ben-Gurion University, Beer-Sheva, Israel.
  • Nilabja Sikdar
    Human Genetics Unit, Indian Statistical Institute, Kolkata, India; Estuarine and Coastal Studies Foundation, Howrah, India. Electronic address: snilabja@gmail.com.

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