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A personalised approach for identifying disease-relevant pathways in heterogeneous diseases
Numerous time-course gene expression datasets have been generated for studying the biological dynamics that drive disease progression; and nearly as many methods have been proposed to analyse them. However, barely any method exists that can appropriately model time-course data while accounting for h...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283216/ https://www.ncbi.nlm.nih.gov/pubmed/32518234 http://dx.doi.org/10.1038/s41540-020-0130-3 |