A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data is a research paper published in BMC Bioinformatics (2021). On theSindex it has a DataRank of 0. It has been cited 13 times.
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NCATS NIH HHS
Grant: UL1 TR001863
FWCI
0.82
Citation Percentile
0.7%
Citation Trend
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Additional file 1 of A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
Additional file 1 of A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
Additional file 2 of A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
Additional file 2 of A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
Additional file 4 of A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
Additional file 4 of A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
Additional file 3 of A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data
Additional file 3 of A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data