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An integrative clustering and modeling algorithm for dynamical gene expression data
Motivation: The precise dynamics of gene expression is often crucial for proper response to stimuli. Time-course gene-expression profiles can provide insights about the dynamics of many cellular responses, but are often noisy and measured at arbitrary intervals, posing a major analysis challenge. Re...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117368/ https://www.ncbi.nlm.nih.gov/pubmed/21685097 http://dx.doi.org/10.1093/bioinformatics/btr250 |