Nebulosa recovers single-cell gene expression signals by kernel density estimation

被引：154

作者：

Alquicira-Hernandez, Jose ^{[1
,2
]}

Powell, Joseph E. ^{[1
,3
]}

机构：

[1] Garvan Weizmann Ctr Cellular Genom, Garvan Inst Med Res, Sydney, NSW 2010, Australia

[2] Univ Queensland, Computat Genom, Inst Mol Biosci, Brisbane, Qld, Australia

[3] Univ New South Wales, UNSW Cellular Genom Futures Inst, Sydney, NSW 2052, Australia

来源：

BIOINFORMATICS | 2021年 / 37卷 / 16期

基金：

英国医学研究理事会; 澳大利亚研究理事会;

关键词：

D O I：

10.1093/bioinformatics/btab003

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：2485 / 2487

页数：3

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