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. 2021 Oct 20;12:6106. doi: 10.1038/s41467-021-26328-2

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — a Cell types fractions (y-axis) determined by flow cytometry in nine samples (x-axis). All cell types* have a color associated as shown in the legend. b Performances of BLADE (orange), CIBERSORTx (blue), NNLS (dark red) and MuSiC (light yellow), measured by Pearson correlation (y-axis) of the estimated sample-specific cell type (x-axis) fractions with those determined by flow cytometry. c Estimated cell fractions (y-axis) per sample (x-axis) by BLADE (top-left), NNLS (top-right), MuSiC (bottom-left) and CIBERSORTx (bottom-right). d, e Pearson correlation (y-axis in d and color gradient in e) of the signature per pair of cell types determined by Finotello et al. and two PBMC scRNA-seq data used in this study. *(TRegs: regulatory T cells; NKcells: natural killer cells; mDC: myeloid dendritic cells).