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A recursively partitioned mixture model for clustering time-course gene expression data
BACKGROUND: Longitudinally collected gene expression data provides an opportunity to investigate the dynamic behavior of gene expression and is crucial for establishing causal links between changes on a molecular level and disease development and progression. In terms of the analysis of such data, c...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4208690/ https://ncbi.nlm.nih.gov/pubmed/25346887 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3978/j.issn.2218-676X.2014.06.04 |
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