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Gerton Lunter
PeerJ Editor
100 Points

Contributions by role

Editor 100

Contributions by subject area

Oncology
Pathology
Translational Medicine
Computational Science
Data Mining and Machine Learning

Gerton Lunter

PeerJ Editor

Summary

My group is interested in investigating the processes of evolution and biology using computational methods. We apply machine learning methods (HMMs, Bayesian statistics, particle filters, deep learning) to large data sets to study for example human demographic history or non-coding functional elements in the genome.

Bioinformatics Computational Biology Data Mining & Machine Learning Evolutionary Studies Genomics Statistics

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Work details

Group leader

University of Oxford
January 2009
Wellcome Trust Centre for Human Genetics

PeerJ Contributions

  • Edited 1

Academic Editor on

April 10, 2019
Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks
Lilija Aprupe, Geert Litjens, Titus J. Brinker, Jeroen van der Laak, Niels Grabe
https://doi.org/10.7717/peerj.6335 PubMed 30993030