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A machine learning approach for the identification of key markers involved in brain development from single-cell transcriptomic data
BACKGROUND: The ability to sequence the transcriptomes of single cells using single-cell RNA-seq sequencing technologies presents a shift in the scientific paradigm where scientists, now, are able to concurrently investigate the complex biology of a heterogeneous population of cells, one at a time....
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| Publicado no: | BMC Genomics |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5260093/ https://ncbi.nlm.nih.gov/pubmed/28155657 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-016-3317-7 |
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