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MELODI - Mining Enriched Literature Objects to Derive Intermediates
View ORCID ProfileBenjamin Elsworth, Karen Dawe, Emma E Vincent, Ryan Langdon, Brigid M Lynch, Richard M Martin, Caroline Relton, Julian Higgins, Tom Gaunt
doi: https://doi.org/10.1101/118513
Benjamin Elsworth
1MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
Karen Dawe
1MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
Emma E Vincent
1MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
Ryan Langdon
1MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
Brigid M Lynch
2Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
3Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
4Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
Richard M Martin
1MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
Caroline Relton
1MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
Julian Higgins
1MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
Tom Gaunt
1MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
Article usage
Posted March 20, 2017.
MELODI - Mining Enriched Literature Objects to Derive Intermediates
Benjamin Elsworth, Karen Dawe, Emma E Vincent, Ryan Langdon, Brigid M Lynch, Richard M Martin, Caroline Relton, Julian Higgins, Tom Gaunt
bioRxiv 118513; doi: https://doi.org/10.1101/118513
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