Dropout imputation and batch effect correction for single-cell RNA sequencing data
Abstract. Single-cell RNA sequencing (scRNA-seq) allows researchers to examine the transcriptome at the single-cell level and has been increasingly employed as technologies continue to advance. Due to technical and biological reasons unique to scRNA-seq data, denoising and batch effect correction ar...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Health
2019-12-01
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| Series: | Journal of Bio-X Research |
| Online Access: | http://journals.lww.com/10.1097/JBR.0000000000000053 |