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Application of Deep Architecture in Bioinformatics

  • Sagnik SenEmail author
  • Rangan Das
  • Swaraj Dasgupta
  • Ujjwal Maulik
Chapter
Part of the Studies in Big Data book series (SBD, volume 68)

Abstract

Recent discoveries in the field of biology have transformed it into a data-rich domain. This has invited multiple machine learning applications, and in particular, deep learning a set of methodologies that have rapidly evolved over the last couple of decades. Deep learning (DL) is extensively used in many domains, including bioinformatics for the analysis and classification of biomedical imaging data, sequence data from omics and biomedical signal processing. It has been used to predict protein structures, uncover gene expression regulation, classify anomalies and understand functionalities of the brain. Basic deep neural networks, which contains stacked columns of non-linear processing units, are quite versatile and has been extensively used in almost every domain of bioinformatics. Convolutional neural networks have proved to be quite effective when working with image data and are used in classifying biomedical images such as histopathology images, cell images, X-ray images, magnetic resonance images and so on. They have been used for anomaly classification, recognition, and segmentation. For areas that require dealing with sequential data, such as protein structure prediction and brain decoding, recurrent neural networks have been used extensively. Besides these, a lot of new architectures are being currently explored to address some of the common drawbacks of deep learning. Incorporation of fuzzy systems in deep learning has been done in an attempt to improve the performance of such models. Multimodal learning in deep learning is enabling modern architectures to work with heterogeneous data.

Keywords

Deep architecture Bioinformatics Biomedical images Convolutional neural network Recurrent neural network 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Sagnik Sen
    • 1
    Email author
  • Rangan Das
    • 1
  • Swaraj Dasgupta
    • 1
  • Ujjwal Maulik
    • 1
  1. 1.Department of Computer Science and EngineeringJadavpur UniversityJadavpur, KolkataIndia

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