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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Détails bibliographiques
Auteurs principaux: Tao Peng, Qin Zhu, Penghang Yin, Kai Tan
Format: Article
Langue:English
Publié: BMC 2019-05-01
Collection:Genome Biology
Sujets:
Single-cell RNA-seq
Imputation
Matrix regularization
Optimization
Accès en ligne: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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