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Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classes
Motivation: Nonlinear small datasets, which are characterized by low numbers of samples and very high numbers of measures, occur frequently in computational biology, and pose problems in their investigation. Unsupervised hybrid-two-phase (H2P) procedures—specifically dimension reduction (DR), couple...
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| Main Authors: | , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Oxford University Press
2010
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2935424/ https://ncbi.nlm.nih.gov/pubmed/20823318 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq376 |
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