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PeakSegJoint

Joint Peak Detection in Several ChIP-Seq Samples

Jointly segment several ChIP-seq samples to find the peaks which are the same and different across samples. The fast approximate maximum Poisson likelihood algorithm is described in "PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples" <doi:10.48550/arXiv.1506.01286> by TD Hocking and G Bourque.

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VersionRepositoryFileSize
2024.12.4 rolling linux/jammy R-4.5 PeakSegJoint_2024.12.4.tar.gz 831.6 KiB
2024.12.4 rolling linux/noble R-4.5 PeakSegJoint_2024.12.4.tar.gz 831.9 KiB
2024.12.4 rolling source/ R- PeakSegJoint_2024.12.4.tar.gz 761.0 KiB
2024.12.4 latest linux/jammy R-4.5 PeakSegJoint_2024.12.4.tar.gz 831.6 KiB
2024.12.4 latest linux/noble R-4.5 PeakSegJoint_2024.12.4.tar.gz 831.9 KiB
2024.12.4 latest source/ R- PeakSegJoint_2024.12.4.tar.gz 761.0 KiB
2024.12.4 2026-04-26 source/ R- PeakSegJoint_2024.12.4.tar.gz 761.0 KiB
2024.12.4 2026-04-23 source/ R- PeakSegJoint_2024.12.4.tar.gz 761.0 KiB
2024.12.4 2026-04-09 windows/windows R-4.5 PeakSegJoint_2024.12.4.zip 838.6 KiB
2024.12.4 2025-04-20 source/ R- PeakSegJoint_2024.12.4.tar.gz 761.0 KiB

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