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01119nam a2200169Ia 4500 |
| 001 |
10.1093-bioinformatics-btab003 |
| 008 |
220427s2021 CNT 000 0 und d |
| 020 |
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|a 13674803 (ISSN)
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| 245 |
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|a Nebulosa recovers single-cell gene expression signals by kernel density estimation
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| 260 |
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|b Oxford University Press
|c 2021
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1093/bioinformatics/btab003
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|a Data sparsity in single-cell experiments prevents an accurate assessment of gene expression when visualized in a low-dimensional space. Here, we introduce Nebulosa, an R package that uses weighted kernel density estimation to recover signals lost through drop-out or low expression. Availability and implementation: Nebulosa can be easily installed from www.github.com/powellgenomicslab/Nebulosa. © The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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4 |
|a article
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| 650 |
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|a gene expression
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|a Alquicira-Hernandez, J.
|e author
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| 700 |
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|a Powell, J.E.
|e author
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| 773 |
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|t Bioinformatics
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