◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Toby Dylan Hocking

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-bio.GN1
  • stat.ME1
ORCID 0000-0002-3146-0865

identity via Semantic Scholar / OpenAlex

most citedVisual annotations and a supervised learning approach for evaluating and calibrating ChIP-seq peak detectors

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.GN2014★ 2 cited

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…

stat.ME2014★ 1 cited

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.