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Fig. 1 | BMC Bioinformatics

Fig. 1

From: nbCNV: a multi-constrained optimization model for discovering copy number variants in single-cell sequencing data

Fig. 1

Modeling of single-cell sequencing RC data and selection of a suitable bin count for experiments. a Frequency histogram of RC data (accession number SRR052047), shown in light green. For comparison, the frequencies of simulated RCs generated by Poisson, Gaussian and negative binomial distributions are indicated by brown, yellow or dark green lines, respectively. The RCs of the SCS data can be accurately characterized by a negative binomial distribution. The estimated parameters by MLE for each P.D.F are shown in parenthesis. b Relationship between bin count (horizontal axis) and overlap ratio (vertical axis). The empirical sequencing data could be better approximated by a negative binomial distribution. Such nice approximation was insensitive to the bin count. Therefore, the proposed nbCNV is hoping to be applied in various bin count setting

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BMC Bioinformatics

ISSN: 1471-2105

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