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Reducing False Positives in CRISPR/Cas9 Screens from Copy Number Variations
Alexander Wu, Tengfei Xiao, Teng Fei, X. Shirley Liu, View ORCID ProfileWei Li
doi: https://doi.org/10.1101/247031
Alexander Wu
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA 02215, USA
2Program in Computational Biology and Quantitative Genetics, Harvard School of Public Health, Boston, MA 02215, USA
Tengfei Xiao
3Division of Molecular and Cellular Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
4Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215 USA
Teng Fei
5College of Life and Health Sciences, Northeastern University, Shenyang 110819, People’s Republic of China
X. Shirley Liu
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA 02215, USA
4Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215 USA
Wei Li
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA 02215, USA
4Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215 USA
6Center for Generic Medicine Research, Children’s National Health System, Washington, DC 20010, USA
7Department of Genomics and Precision Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20010, USA

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Posted January 11, 2018.
Reducing False Positives in CRISPR/Cas9 Screens from Copy Number Variations
Alexander Wu, Tengfei Xiao, Teng Fei, X. Shirley Liu, Wei Li
bioRxiv 247031; doi: https://doi.org/10.1101/247031
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