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Hierarchical clustering of high-throughput expression data based on general dependencies
High-throughput expression technologies, including gene expression array and liquid chromatography – mass spectrometry (LC-MS) etc., measure thousands of features, i.e. genes or metabolites, on a continuous scale. In such data, both linear and nonlinear relations exist between features. Nonlinear re...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3905248/ https://ncbi.nlm.nih.gov/pubmed/24334400 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2013.99 |
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