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Fig. 3 | BMC Bioinformatics

Fig. 3

From: CAISC: A software to integrate copy number variations and single nucleotide mutations for genetic heterogeneity profiling and subclone detection by single-cell RNA sequencing

Fig. 3

Accuracy of SNV, CNV, and CAISC clustering approaches on simulated data. A Fan dendrograms show simulated data with CNV, SNV and the CAISC clustering approaches, which agree with the predefined clone types colored with blue, purple, red, and lavender. B Adjusted Rand Index (ARI) was calculated for SNV, CNV, CAISC to evaluate effectiveness of clustering approaches with distinctly defined CNV and indistinct CNV. CNV heatmaps showing simulated data for two situations: with distinct and indistinct CNVs. These cells were clustered and ordered with SNV, then ordered with CNV, allowing for the identification of certain subclones. C When there are distinct CNV clones, with a large difference between subclones, patterns can be clearly identified. The red group in the SNV annotation can be further separated into two groups, each with different CNV. One group has chromosomal 1 loss and chromosomal 5,7 gains, while the other group has no obvious chromosomal alterations. D When there are indistinct CNV clones, with only slight differences between them, no clear patterns are apparent

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BMC Bioinformatics

ISSN: 1471-2105

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