Increased peak detection accuracy in over-dispersed ChIP-seq data with
supervised segmentation models

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Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models

12 December 2020

Arnaud Liehrmann

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Papers citing "Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models"

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Title
Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry Liudmila Pishchagina Gaetano Romano Paul Fearnhead Vincent Runge G. Rigaill 123 1 0 02 Nov 2023
Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series Liudmila Pishchagina G. Rigaill Vincent Runge 46 2 0 15 Jun 2023
Automatic Change-Point Detection in Time Series via Deep Learning Jie Li Paul Fearnhead Piotr Fryzlewicz Teng Wang AI4TS 70 19 0 07 Nov 2022
Functional Labeled Optimal Partitioning T. Hocking Jacob M. Kaufman Alyssa J. Stenberg 42 0 0 05 Oct 2022
Optimizing ROC Curves with a Sort-Based Surrogate Loss Function for Binary Classification and Changepoint Detection J. Hillman T. Hocking 49 2 0 02 Jul 2021