SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

Abstract Single-cell RNA-seq data contain a large proportion of zeros for expressed genes. Such dropout events present a fundamental challenge for various types of data analyses. Here, we describe the SCRABBLE algorithm to address this problem. SCRABBLE leverages bulk data as a constraint and reduce...

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Podrobná bibliografie
Hlavní autoři: Tao Peng, Qin Zhu, Penghang Yin, Kai Tan
Médium: Článek
Jazyk:English
Vydáno: BMC 2019-05-01
Edice:Genome Biology
Témata:
Single-cell RNA-seq
Imputation
Matrix regularization
Optimization
On-line přístup:http://link.springer.com/article/10.1186/s13059-019-1681-8

Internet

http://link.springer.com/article/10.1186/s13059-019-1681-8

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