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article · International Journal of Innovative Technology and Exploring Engineering · 2019

Need of Machine Learning In Bioinformatics

K. Jayanthi, D. Mahesh

Cited by 4Open access

Abstract

The complexity of biological data has emerged the need of powerful and modern data analysis with computer tools and techniques. In order to satisfy the requirements of various processes in the biological data machine learning can provide different kinds of learning algorithms and this helps the computer can automatically learn by experience and construct a model for future output cases. This paper have discussed about the various biological data need to be processed with bioinformatics and techniques which are used in machine learning for achieving the analysis of biological data for creating model for them, and also some of the applications of machine learning in bioinformatics explained briefly.

Cite this paper

APA 7

Jayanthi, K., & Mahesh, D. (2019). Need of Machine Learning In Bioinformatics. International Journal of Innovative Technology and Exploring Engineering, 8(11), 2608–2611. https://doi.org/10.35940/ijitee.k1903.0981119

MLA 9

Jayanthi, K., and D. Mahesh. “Need of Machine Learning In Bioinformatics.” International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 11, 2019, pp. 2608–11, https://doi.org/10.35940/ijitee.k1903.0981119.

Chicago

Jayanthi, K., and D. Mahesh. 2019. “Need of Machine Learning In Bioinformatics.” International Journal of Innovative Technology and Exploring Engineering 8 (11): 2608–11. https://doi.org/10.35940/ijitee.k1903.0981119.

Harvard

Jayanthi, K. and Mahesh, D. (2019) ‘Need of Machine Learning In Bioinformatics’, International Journal of Innovative Technology and Exploring Engineering, 8(11), pp. 2608–2611. Available at: https://doi.org/10.35940/ijitee.k1903.0981119.

BibTeX
@article{jayanthi2019need,
  title = {{Need of Machine Learning In Bioinformatics}},
  author = {Jayanthi, K. and Mahesh, D.},
  journal = {International Journal of Innovative Technology and Exploring Engineering},
  volume = {8},
  number = {11},
  pages = {2608--2611},
  year = {2019},
  doi = {10.35940/ijitee.k1903.0981119}
}

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