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Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning–based neural network
BACKGROUND: Gene expression plays a key intermediate role in linking molecular features at the DNA level and phenotype. However, owing to various limitations in experiments, the RNA-seq data are missing in many samples while there exist high-quality of DNA methylation data. Because DNA methylation i...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350980/ https://www.ncbi.nlm.nih.gov/pubmed/32649756 http://dx.doi.org/10.1093/gigascience/giaa076 |