HIGHLIGHTS
- who: Michela Carlotta Massi and collaborators from the Biostatistics, Deptof Biomedical Sciences, University Sassari, Sassari, Italy have published the paper: A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis, in the Journal: (JOURNAL) of February/24,/2022
- what: The authors aim to identify blood DNAm profiles associated with TTD with the aim to improve the reliability the results as well as their biological meaningfulness. To prove the concept the authors develop a new Deep Learning-based approach assessing the relevance individual CpG . . .
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