<p>SIB Text Mining at TREC 2017 Precision Medicine Track</p>

Emilie Pasche; Julien Gobeill; Luc Mottin; Anaïs Mottaz; Douglas Teodoro; Josephus SA Van Rijen; Patrick Ruch

doi:10.7490/f1000research.1115089.1

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Pasche E, Gobeill J, Mottin L et al. SIB Text Mining at TREC 2017 Precision Medicine Track [version 1; not peer reviewed]. F1000Research 2017, 6:2021 (slides) (https://doi.org/10.7490/f1000research.1115089.1)

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SIB Text Mining at TREC 2017 Precision Medicine Track

Emilie Pasche¹, Julien Gobeill, Luc Mottin, Anaïs Mottaz, Douglas Teodoro, Josephus SA Van Rijen, Patrick Ruch

Published 17 Nov 2017 (https://doi.org/10.7490/f1000research.1115089.1)

Author Affiliations

¹ Swiss Institute of Bioinformatics, Switzerland

Copyright © 2017 Pasche E et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 17 Nov 2017

SIB Text Mining at TREC 2017 Precision Medicine Track
[version 1; not peer reviewed]

Emilie Pasche¹, Julien Gobeill, Luc Mottin, Anaïs Mottaz, Douglas Teodoro, Josephus SA Van Rijen, Patrick Ruch

Author Affiliations

¹ Swiss Institute of Bioinformatics, Switzerland

Presented at

TREC Precision Medicine Track Conference 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

TREC, precision medicine, variants, oncology, clinical trials, information retrieval

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