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Extracting biologically significant patterns from short time series gene expression data
BACKGROUND: Time series gene expression data analysis is used widely to study the dynamics of various cell processes. Most of the time series data available today consist of few time points only, thus making the application of standard clustering techniques difficult. RESULTS: We developed two new a...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2743670/ https://www.ncbi.nlm.nih.gov/pubmed/19695084 http://dx.doi.org/10.1186/1471-2105-10-255 |