34 citations · 84 across the 24 of their papers we have counts for
3 papers · 1 filter
Visual annotations and a supervised learning approach for evaluating and calibrating ChIP-seq peak detectors
Toby Dylan Hocking, Patricia Goerner-Potvin, Andreanne Morin +2
Many peak detection algorithms have been proposed for ChIP-seq data analysis, but it is not obvious which method and what parameters are optimal for any given data set. In contrast…
On Optimal Multiple Changepoint Algorithms for Large Data
Robert Maidstone, Toby Hocking, Guillem Rigaill +1
There is an increasing need for algorithms that can accurately detect changepoints in long time-series, or equivalent, data. Many common approaches to detecting changepoints, for e…
Support vector comparison machines
David Venuto, Toby Dylan Hocking, Lakjaree Sphanurattana +1
In ranking problems, the goal is to learn a ranking function from labeled pairs of input points. In this paper, we consider the related comparison problem, where the label indicate…