<p>Integrative bioinformatics approach for analyzing metabolic syndrome</p>

Abdul Hafeez Kandhro; Watshara Shoombuatong; Pornlada Nuchnoi

doi:10.7490/f1000research.1113632.1

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Kandhro AH, Shoombuatong W and Nuchnoi P. Integrative bioinformatics approach for analyzing metabolic syndrome [version 1; not peer reviewed]. F1000Research 2017, 6:92 (poster) (https://doi.org/10.7490/f1000research.1113632.1)

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Integrative bioinformatics approach for analyzing metabolic syndrome

Abdul Hafeez Kandhro, Watshara Shoombuatong, Pornlada Nuchnoi¹

Published 31 Jan 2017 (https://doi.org/10.7490/f1000research.1113632.1)

Author Affiliations

¹ Faculty of Medical Technology, Mahidol University, Thailand

Copyright © 2017 Kandhro AH 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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CITE

Published 31 Jan 2017

Integrative bioinformatics approach for analyzing metabolic syndrome
[version 1; not peer reviewed]

Abdul Hafeez Kandhro, Watshara Shoombuatong, Pornlada Nuchnoi¹

Author Affiliations

¹ Faculty of Medical Technology, Mahidol University, Thailand

Presented at

1st International Conference on Pharmaceutical Bioinformatics (ICPB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

MicroRNA, metabolic disease

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