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Locality Sensitive Imputation for Single Cell RNA-Seq Data
One of the most notable challenges in single cell RNA-Seq data analysis is the so called drop-out effect, where only a fraction of the transcriptome of each cell is captured. The random nature of dropouts, however, makes it possible to consider imputation methods as means of correcting for dropouts....
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| Publicado en: | J Comput Biol |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Mary Ann Liebert, Inc., publishers
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6703247/ https://ncbi.nlm.nih.gov/pubmed/30785309 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2018.0236 |
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