# Impute low expression

Single cell RNA-seq gene expression counts are zero inflated due to inefficient mRNA capture. This normalization task is based on MAGIC\[1]–MArkov Affinity-based Graph Imputation of Cells), to recover gene expression lost due to drop-out. The limitation on using this method is up to 50K cells in the input data node.

To invoke this task, click on a normalized data node which has less than 50K cells, it will first compute PCA to use the number of PCs specified to impute (Figure 1).

Click **Finish** to run the task, it will output low expression imputed matrix in the output report node.

<div align="left"><figure><img src="https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-a7d1875424a3ecf6c25b1a60c1044fe74831047d%2Fimage2023-12-11_15-8-17.png?alt=media" alt=""><figcaption><p>Figure 1. Select number of PCs to use for imputation</p></figcaption></figure></div>

References

1. Dijk D et al. MAGIC: A diffusion-based imputation method reveals gene-gene interactions in single-cell RNA-sequencing data

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