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Visualizing gene expression changes in time, space, and single cells with expressyouRcell
The last decade has witnessed massive advancements in high-throughput techniques capable of producing increasingly complex gene expression datasets across time and space and at the resolution of single cells. Yet, the large volume of big data available and the complexity of experimental designs hamp...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220493/ https://www.ncbi.nlm.nih.gov/pubmed/37250782 http://dx.doi.org/10.1016/j.isci.2023.106853 |