A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data

The metabolic heterogeneity and metabolic interplay between cells are known as significant contributors to disease treatment resistance. However, with the lack of a mature high-throughput single-cell metabolomics technology, we are yet to establish systematic understanding of the intra-tissue metabo...

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Detalles Bibliográficos
Autores principales: Alghamdi, Norah, Chang, Wennan, Dang, Pengtao, Lu, Xiaoyu, Wan, Changlin, Gampala, Silpa, Huang, Zhi, Wang, Jiashi, Ma, Qin, Zang, Yong, Fishel, Melissa, Cao, Sha, Zhang, Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2021
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494226/
https://www.ncbi.nlm.nih.gov/pubmed/34301623
http://dx.doi.org/10.1101/gr.271205.120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494226/
https://www.ncbi.nlm.nih.gov/pubmed/34301623
http://dx.doi.org/10.1101/gr.271205.120

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