DISMIR: Deep learning-based noninvasive cancer detection by integrating DNA sequence and methylation information of individual cell-free DNA reads

Detecting cancer signals in cell-free DNA (cfDNA) high-throughput sequencing data is emerging as a novel noninvasive cancer detection method. Due to the high cost of sequencing, it is crucial to make robust and precise predictions with low-depth cfDNA sequencing data. Here we propose a novel approac...

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Detalles Bibliográficos
Autores principales: Li, Jiaqi, Wei, Lei, Zhang, Xianglin, Zhang, Wei, Wang, Haochen, Zhong, Bixi, Xie, Zhen, Lv, Hairong, Wang, Xiaowo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575022/
https://www.ncbi.nlm.nih.gov/pubmed/34245239
http://dx.doi.org/10.1093/bib/bbab250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575022/
https://www.ncbi.nlm.nih.gov/pubmed/34245239
http://dx.doi.org/10.1093/bib/bbab250

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