EnImpute: imputing dropout events in single-cell RNA-sequencing data via ensemble learning
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Hong Yan | Xing-Ming Zhao | Le Ou-Yang | Shuo Yang | Xiao-Fei Zhang | Xiaohua Hu | Xingming Zhao | Xiaohua Hu | Le Ou-Yang | Xiao-Fei Zhang | Hong Yan | Shuo Yang | Ou-Yang Le
[1] Wei Vivian Li,et al. An accurate and robust imputation method scImpute for single-cell RNA-seq data , 2018, Nature Communications.
[2] Nancy R. Zhang,et al. SAVER: Gene expression recovery for single-cell RNA sequencing , 2018, Nature Methods.
[3] A. Regev,et al. Spatial reconstruction of single-cell gene expression , 2015, Nature Biotechnology.
[4] Fabian J Theis,et al. Single-cell RNA-seq denoising using a deep count autoencoder , 2019, Nature Communications.
[5] Il-Youp Kwak,et al. DrImpute: imputing dropout events in single cell RNA sequencing data , 2017, BMC Bioinformatics.
[6] Andrew J Rennekamp,et al. Toward a Choate View of Fate , 2018, Cell.
[7] Kevin R. Moon,et al. Recovering Gene Interactions from Single-Cell Data Using Data Diffusion , 2018, Cell.