Comparative machine learning analysis for predicting organ tropism in breast cancer and identifying key gene signatures.

Journal: Computers in biology and medicine
Published Date: Jul 12, 2025

Abstract

BACKGROUND: Breast cancer metastasis (BCM) metastasizes preferentially to certain organs. Important genetic markers can be used for early detection and treatment. Machine learning (ML) can efficiently handle gene expression data to enhance metastasis prediction.

Authors

  • Sohini Chakraborty
    Department of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India; Department of Biotechnology, School of Applied Sciences, REVA University, Bengaluru, 560064, Karnataka, India.
  • Nidhi Shakhapur
    Department of Computer Science, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
  • Sathya K
    Department of Database Systems, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
  • Satarupa Banerjee
    School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, West Bengal 721302, India.

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