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. 2018 Dec 12;8:17903. doi: 10.1038/s41598-018-36408-x

Author Correction: Extracting Intercellular Signaling Network of Cancer Tissues using Ligand-Receptor Expression Patterns from Whole-tumor and Single-cell Transcriptomes

Joseph X Zhou 1,#, Roberto Taramelli 2,#, Edoardo Pedrini 2, Theo Knijnenburg 1, Sui Huang 1,
PMCID: PMC6289989  PMID: 30538266

Correction to: Scientific Reports 10.1038/s41598-017-09307-w, published online 18 August 2017

This Article contains an error in the order of the Figures. Figures 5 and 6 were published as Figures 6 and 5 respectively. The correct Figures 5 and 6 appear below as Figures 1 and 2. The Figure legends are correct.

Figure 1.

Figure 1

Spearman correlations in cancer and normal tissues are significantly different from randomly chosen pairs. (a) The Spearman correlation coefficients distribution (random (in red color) vs. defined (in blue) ligand-receptor gene pair) in cancer tissues. (b) The Spearman correlation coefficients distribution (random vs. defined ligand-receptor gene pair) in normal tissues.

Figure 2.

Figure 2

The scatter plots show the altered ligand-receptor correlations between normal and cancer tissues of 10 cancer types. (a,b) The background noise of correlations in the normal breast tissue. The scatter plots of 2,558 ligand-receptor pairs from 65 samples which are randomly chosen 1,000 times from breast tissue (performed twice); (co) The scatter plots of ligand-receptor correlations (normal vs. cancer) of ten cancer types. Three types of altered correlations: (i) area I: changing from uncorrelated (Spearman correlation coefficients between −0.25 and 0.25) to correlated (higher than 0.5); (ii) area II: changing from positively correlated (lower than −0.5) to uncorrelated (between −0.25 and 0.25); (iii) area III: changing from negatively correlated (higher than 0.5) to uncorrelated (between −0.25 and 0.25).


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