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Fig. 2 | BMC Bioinformatics

Fig. 2

From: A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data

Fig. 2

Overall procedure of the network-based imputation model in NetImpute framework. The statistic method is used to identify noise data items at both the low-expression and high-expression levels. For each gene’s noise items (star), NetImpute integrates the neighborhood genes in networks (PPI network or gene pathways) that have high-confidence expression values in a specific fuzzy cell subpopulation to train a regression model, and then the learned regression model is used to impute the noise data

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BMC Bioinformatics

ISSN: 1471-2105

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