DAISM-DNN(XMBD): Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

Understanding the immune cell abundance of cancer and other disease-related tissues has an important role in guiding disease treatments. Computational cell type proportion estimation methods have been previously developed to derive such information from bulk RNA sequencing data. Unfortunately, our r...

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Detalles Bibliográficos
Autores principales: Lin, Yating, Li, Haojun, Xiao, Xu, Zhang, Lei, Wang, Kejia, Zhao, Jingbo, Wang, Minshu, Zheng, Frank, Zhang, Minwei, Yang, Wenxian, Han, Jiahuai, Yu, Rongshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058910/
https://www.ncbi.nlm.nih.gov/pubmed/35510186
http://dx.doi.org/10.1016/j.patter.2022.100440

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058910/
https://www.ncbi.nlm.nih.gov/pubmed/35510186
http://dx.doi.org/10.1016/j.patter.2022.100440

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