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. 2022 Jun 9;13:909828. doi: 10.3389/fneur.2022.909828

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Copyright © 2022 Luo, Ma, Guo, Yu, Jia, Zhang, Feng and Liu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Quality control and data integration of single-cell datasets. (A) Scatter plot showing the relationship between cell characteristics in the single-cell data before data filtering. (B) Scatter plot showing the relationship between cell characteristics, mitochondrial proportions (pMT), and RNA counts. The red line represents the threshold used in performing cell mass filtering. (C–F) Violin plots showing the distribution of cellular features in each sample after data filtering. (G,H) UMAP showing the overlaps and distribution of single-cell data after integration. These plots show the removal of batch effects.