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Toby Dylan Hocking

4 papers here

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

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • 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 · 4 across the 4 of their papers we have counts for

collaborators
Showing q-bio.GNShow all

1 paper · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.