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The Unsupervised Feature Selection Algorithms Based on Standard Deviation and Cosine Similarity for Genomic Data Analysis
Juanying Xie,
Mingzhao Wang,
Shengquan Xu,
Zhao Huang,
Philip Grant
Frontiers in Genetics, Volume: 12
Swansea University Author: Philip Grant
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© 2021 Xie, Wang, Xu, Huang and Grant. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)
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DOI (Published version): 10.3389/fgene.2021.684100
Abstract
The Unsupervised Feature Selection Algorithms Based on Standard Deviation and Cosine Similarity for Genomic Data Analysis
| Published in: | Frontiers in Genetics |
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| ISSN: | 1664-8021 |
| Published: |
Frontiers Media SA
2021
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa57084 |
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| Keywords: |
unsupervised feature selection, gene selection, standard deviation, cosine similarity, 2-dimensionalspace |
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| College: |
Faculty of Science and Engineering |