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

12 December 2020

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

6 / 6 papers shown

Title
Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry Liudmila Pishchagina Gaetano Romano Paul Fearnhead Vincent Runge G. Rigaill 79 1 0 02 Nov 2023
Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series Liudmila Pishchagina G. Rigaill Vincent Runge 22 1 0 15 Jun 2023
Automatic Change-Point Detection in Time Series via Deep Learning Jie Li Paul Fearnhead Piotr Fryzlewicz Teng Wang AI4TS 13 16 0 07 Nov 2022
Functional Labeled Optimal Partitioning T. Hocking Jacob M. Kaufman Alyssa J. Stenberg 14 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 14 2 0 02 Jul 2021
Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise Gaetano Romano G. Rigaill Vincent Runge Paul Fearnhead 27 31 0 04 May 2020