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Feature Selection for Longitudinal Data by Using Sign Averages to Summarize Gene Expression Values over Time
With the rapid evolution of high-throughput technologies, time series/longitudinal high-throughput experiments have become possible and affordable. However, the development of statistical methods dealing with gene expression profiles across time points has not kept up with the explosion of such data...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444255/ https://www.ncbi.nlm.nih.gov/pubmed/31016185 http://dx.doi.org/10.1155/2019/1724898 |