Predicting lung adenocarcinoma disease progression using methylation-correlated blocks and ensemble machine learning classifiers

Applying the knowledge that methyltransferases and demethylases can modify adjacent cytosine-phosphorothioate-guanine (CpG) sites in the same DNA strand, we found that combining multiple CpGs into a single block may improve cancer diagnosis. However, survival prediction remains a challenge. In this...

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Detalles Bibliográficos
Autores principales: Yu, Xin, Yang, Qian, Wang, Dong, Li, Zhaoyang, Chen, Nianhang, Kong, De-Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894106/
https://www.ncbi.nlm.nih.gov/pubmed/33628643
http://dx.doi.org/10.7717/peerj.10884

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894106/
https://www.ncbi.nlm.nih.gov/pubmed/33628643
http://dx.doi.org/10.7717/peerj.10884

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