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Machine Learning Methods to Re-Annotate Histone Modifications with Locus-specific Functional Classification (Future Leaders Fellowship)
Owen-Hughes, Tom
(Investigator)
Schweikert, Gabriele
(Investigator)
Computational Biology
Molecular Cell and Developmental Biology
Overview
Fingerprint
Research Outputs
(1)
Project Details
Status
Active
Effective start/end date
1/11/20
→
31/10/24
Funding
Medical Research Council
(MR/R022620/1):
£1,286,338.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
machine learning
Physics & Astronomy
100%
Machine Learning
Medicine & Life Sciences
89%
learning
Physics & Astronomy
85%
Epigenomics
Medicine & Life Sciences
69%
Donor
Chemical Compounds
53%
gene expression
Physics & Astronomy
53%
mutations
Physics & Astronomy
46%
conditioning
Physics & Astronomy
43%
Research output
Research output per year
2023
2023
2023
1
Article
Research output per year
Research output per year
Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning
Hawkins-Hooker, A.
,
Visonà, G.
,
Narendra, T.
,
Rojas-Carulla, M.
,
Schölkopf, B.
&
Schweikert, G.
,
7 Aug 2023
,
In:
Nature Communications.
14
,
14 p.
, 4750.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
machine learning
100%
Machine Learning
89%
learning
85%
Epigenomics
69%
Donor
53%
5
Downloads (Pure)