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Machine Learning Approaches Identify Genes Containing Spatial Information From Single-Cell Transcriptomics Data
The development of single-cell sequencing technologies has allowed researchers to gain important new knowledge about the expression profile of genes in thousands of individual cells of a model organism or tissue. A common disadvantage of this technology is the loss of the three-dimensional (3-D) str...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902049/ https://www.ncbi.nlm.nih.gov/pubmed/33633771 http://dx.doi.org/10.3389/fgene.2020.612840 |