id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-2021_02_10_430649	Wen, Zi-Hang	Bfimpute: A Bayesian factorization method to recover single-cell RNA sequencing data	2021	11	.pdf	application/pdf	8418	1302	71	Bfimpute: A Bayesian factorization method to recover single-cell RNA sequencing data Recovering dropout events in a sparse gene expression matrix for scRNA-seq data is a long-standing matrix completion We introduce Bfimpute, a Bayesian factorization imputation algorithm that reconstructs two latent gene and cell matrices to impute final gene expression matrix within each cell group, with or without the aid of cell type labels or bulk Bfimpute achieves better accuracy than other six publicly notable scRNA-seq imputation methods on simulated Key words: single cell; RNA-seq; imputation; Bayesian factorization impute dropout events by adopting the bulk RNA-seq data imputation of single cell RNA-seq data could be applied by Bfimpute recovers dropout values and improves cell type identification in the simulated data. and the imputed data by Bfimpute, scImpute, and DrImpute for the human embryonic stem cell differentiation study. imputation method scimpute for single-cell rna-seq data.	./cache/10_1101-2021_02_10_430649.pdf	./txt/10_1101-2021_02_10_430649.txt