Cargando…
Deep learning-based predictive identification of neural stem cell differentiation
The differentiation of neural stem cells (NSCs) into neurons is proposed to be critical in devising potential cell-based therapeutic strategies for central nervous system (CNS) diseases, however, the determination and prediction of differentiation is complex and not yet clearly established, especial...
Autores principales: | Zhu, Yanjing, Huang, Ruiqi, Wu, Zhourui, Song, Simin, Cheng, Liming, Zhu, Rongrong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110743/ https://www.ncbi.nlm.nih.gov/pubmed/33972525 http://dx.doi.org/10.1038/s41467-021-22758-0 |
Ejemplares similares
-
DeepScreen: An Accurate, Rapid, and Anti‐Interference Screening Approach for Nanoformulated Medication by Deep Learning
por: Zhu, Yanjing, et al.
Publicado: (2018) -
Size-Dependent Effects of Suspended Graphene Oxide Nanoparticles on the Cellular Fate of Mouse Neural Stem Cells
por: Lin, Lijuan, et al.
Publicado: (2020) -
Neurogenesis potential of oligodendrocyte precursor cells from oligospheres and injured spinal cord
por: Zhao, Qing, et al.
Publicado: (2022) -
Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation
por: Waisman, Ariel, et al.
Publicado: (2019) -
Neuroprotective Effects of Human Umbilical Cord-Derived Mesenchymal Stem Cells From Different Donors on Spinal Cord Injury in Mice
por: Zhu, Xu, et al.
Publicado: (2022)