MethodI3: A Self-organising Learning Workflow for Intuitive Integrative Interpretation of Complex Genetic Data
Under a Creative Commons license
open access
Keywords
Self-organising
Human genetics
Interpretation
Evolution
Machine learning
Cited by (0)
Peer review under responsibility of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China.
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Equal contribution.
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Current address: Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3PT, UK.
- a
ORCID: 0000-0001-8450-0392.
- b
ORCID: 0000-0003-2944-0539.
- c
ORCID: 0000-0001-7198-2134.
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ORCID: 0000-0003-3961-8572.
© 2019 The Authors. Published by Elsevier B.V. and Science Press on behalf of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China.