Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network.

Journal: Computer methods and programs in biomedicine
Published Date: Jun 27, 2020

Abstract

BACKGROUND: The size of genomics data has been growing rapidly over the last decade. However, the conventional data analysis techniques are incapable of processing this huge amount of data. For the efficient processing of high dimensional datasets, it is essential to develop some new parallel methods.

Authors

  • Santos Kumar Baliarsingh
    DST-FIST Bioinformatics Lab, Department of Computer Science and Engineering, International Institute of Information Technology, Bhubaneswar, India. baliarsingh.santosh@gmail.com.
  • Swati Vipsita
  • Amir H Gandomi
    Faculty of Engineering Information Technology, University of Technology Sydney, Ultimo, NSW 2007, Australia.
  • Abhijeet Panda
    International Institute of Information Technology, Hyderabad 500032, India. Electronic address: abhijeet.panda@students.iiit.ac.in.
  • Sambit Bakshi
    Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India. Electronic address: sambitbaksi@gmail.com.
  • Somula Ramasubbareddy
    VNR VJIET, Hyderabad, Telangana 500090, India. Electronic address: svramasubbareddy1219@gmail.com.

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