Deep Learning Methods for Omics Data Imputation

SIMPLE SUMMARY: Missing values are common in omics data and can arise from various causes. Imputation approaches offer a different means of handling missing data instead of utilizing only subsets of the dataset. However, the imputation of missing omics data is a challenging task. Advanced imputation...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Lei, Song, Meng, Shen, Hui, Hong, Huixiao, Gong, Ping, Deng, Hong-Wen, Zhang, Chaoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604785/
https://www.ncbi.nlm.nih.gov/pubmed/37887023
http://dx.doi.org/10.3390/biology12101313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604785/
https://www.ncbi.nlm.nih.gov/pubmed/37887023
http://dx.doi.org/10.3390/biology12101313

Ejemplares similares