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Assessing the reliability of spike-in normalization for analyses of single-cell RNA sequencing data
By profiling the transcriptomes of individual cells, single-cell RNA sequencing provides unparalleled resolution to study cellular heterogeneity. However, this comes at the cost of high technical noise, including cell-specific biases in capture efficiency and library generation. One strategy for rem...
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| Pubblicato in: | Genome Res |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cold Spring Harbor Laboratory Press
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5668938/ https://ncbi.nlm.nih.gov/pubmed/29030468 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.222877.117 |
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