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Reverse engineering gene regulatory networks from measurement with missing values
BACKGROUND: Gene expression time series data are usually in the form of high-dimensional arrays. Unfortunately, the data may sometimes contain missing values: for either the expression values of some genes at some time points or the entire expression values of a single time point or some sets of con...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225239/ https://www.ncbi.nlm.nih.gov/pubmed/28127303 http://dx.doi.org/10.1186/s13637-016-0055-8 |