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Accurate and fast feature selection workflow for high-dimensional omics data
We are moving into the age of ‘Big Data’ in biomedical research and bioinformatics. This trend could be encapsulated in this simple formula: D = S * F, where the volume of data generated (D) increases in both dimensions: the number of samples (S) and the number of sample features (F). Frequently, a...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5738110/ https://ncbi.nlm.nih.gov/pubmed/29261781 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0189875 |
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