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A feature selection strategy for gene expression time series experiments with hidden Markov models
Studies conducted in time series could be far more informative than those that only capture a specific moment in time. However, when it comes to transcriptomic data, time points are sparse creating the need for a constant search for methods capable of extracting information out of experiments of thi...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786538/ https://www.ncbi.nlm.nih.gov/pubmed/31600242 http://dx.doi.org/10.1371/journal.pone.0223183 |