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TTCA: an R package for the identification of differentially expressed genes in time course microarray data
BACKGROUND: The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over ti...
Tallennettuna:
| Julkaisussa: | BMC Bioinformatics |
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| Päätekijät: | , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5237546/ https://ncbi.nlm.nih.gov/pubmed/28088176 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1440-8 |
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