PIKE-R2P: Protein–protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction

BACKGROUND: Recent advances in simultaneous measurement of RNA and protein abundances at single-cell level provide a unique opportunity to predict protein abundance from scRNA-seq data using machine learning models. However, existing machine learning methods have not considered relationship among th...

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Detalles Bibliográficos
Autores principales: Dai, Xinnan, Xu, Fan, Wang, Shike, Mundra, Piyushkumar A., Zheng, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170782/
https://www.ncbi.nlm.nih.gov/pubmed/34078261
http://dx.doi.org/10.1186/s12859-021-04022-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170782/
https://www.ncbi.nlm.nih.gov/pubmed/34078261
http://dx.doi.org/10.1186/s12859-021-04022-w

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