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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...
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| Publicado no: | Front Genet |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7902049/ https://ncbi.nlm.nih.gov/pubmed/33633771 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.612840 |
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