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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...
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| Gepubliceerd in: | EURASIP J Bioinform Syst Biol |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer International Publishing
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5225239/ https://ncbi.nlm.nih.gov/pubmed/28127303 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-016-0055-8 |
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