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Accounting for GC-content bias reduces systematic errors and batch effects in ChIP-Seq peak callers
Mingxiang Teng, Rafael A. Irizarry
doi: https://doi.org/10.1101/090704
Mingxiang Teng
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute
2Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Rafael A. Irizarry
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute
2Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Article usage
Posted December 01, 2016.
Accounting for GC-content bias reduces systematic errors and batch effects in ChIP-Seq peak callers
Mingxiang Teng, Rafael A. Irizarry
bioRxiv 090704; doi: https://doi.org/10.1101/090704
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