Computational Techniques and Tools for Omics Data Analysis: State-of-the-Art, Challenges, and Future Directions-Reference-Cited by-同舟云学术

Computational Techniques and Tools for Omics Data Analysis: State-of-the-Art, Challenges, and Future Directions

Published:2021-02-01 Issue:7 Volume:28 Page:4595-4631
ISSN:1134-3060
Container-title:Archives of Computational Methods in Engineering
language:en
Short-container-title:Arch Computat Methods Eng

Author:

Kaur Parampreet,Singh Ashima,Chana Inderveer

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11831-021-09547-0.pdf

Reference131 articles.

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5. Dubourg-Felonneau G, Cannings T, Cotter F et al (2018) A framework for implementing machine learning on omics data. arXiv preprint arXiv:1811.10455

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