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- W2520778890 abstract "We present a new normalization protocol of raw WES coverage data to reduce the noise problems from variable specificities and efficiencies of the probes, which is combined with the previously developed CNV detection method based on scale-space filtering. Experiments for performance tests are carried out with simulated data generated by TargetedSim. The results showed the performance increases 53.1% and 14.5%, respectively in FNR and FPR compared to those of the case without normalization. Furthermore, the results showed that our method has fairly good FNR and FPR and outperforms the conventional methods such as EXCAVATOR, CONTRA, and ExomeCNV, in FNR by as much as 26.2% to 81.2%." @default.
- W2520778890 created "2016-09-23" @default.
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- W2520778890 date "2016-07-01" @default.
- W2520778890 modified "2023-09-26" @default.
- W2520778890 title "An efficient noise reduction method for copy number variations detection from whole exome sequencing data" @default.
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- W2520778890 doi "https://doi.org/10.1109/hpcsim.2016.7568451" @default.
- W2520778890 hasPublicationYear "2016" @default.
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