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Towards future directions in data-integrative supervised prediction of human aging-related genes
MOTIVATION: Identification of human genes involved in the aging process is critical due to the incidence of many diseases with age. A state-of-the-art approach for this purpose infers a weighted dynamic aging-specific subnetwork by mapping gene expression (GE) levels at different ages onto the prote...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710570/ https://www.ncbi.nlm.nih.gov/pubmed/36699345 http://dx.doi.org/10.1093/bioadv/vbac081 |