Epi-Impute: Single-Cell RNA-seq Imputation via Integration with Single-Cell ATAC-seq
Single-cell RNA-seq data contains a lot of dropouts hampering downstream analyses due to the low number and inefficient capture of mRNAs in individual cells. Here, we present Epi-Impute, a computational method for dropout imputation by reconciling expression and epigenomic data. Epi-Impute leverages...
Main Authors: | Mikhail Raevskiy, Vladislav Yanvarev, Sascha Jung, Antonio Del Sol, Yulia A. Medvedeva |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | International Journal of Molecular Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/1422-0067/24/7/6229 |
Similar Items
-
simATAC: a single-cell ATAC-seq simulation framework
by: Zeinab Navidi, et al.
Published: (2021-03-01) -
Evaluating imputation methods for single-cell RNA-seq data
by: Yi Cheng, et al.
Published: (2023-07-01) -
Hydrop enables droplet-based single-cell ATAC-seq and single-cell RNA-seq using dissolvable hydrogel beads
by: Florian V De Rop, et al.
Published: (2022-02-01) -
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
by: Tao Peng, et al.
Published: (2019-05-01) -
Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Mesenchymal Stem/Stromal Cells Derived from Human Placenta
by: Jinlu Li, et al.
Published: (2022-04-01)