<p>Elaborating deconvolution of immune cell sub-populations from mixed transcriptomic data</p>

Gianni Monaco; Bernett Lee; Michael Poidinger; Tze Pin Ng; Joao Pedro de Magalhaes; Anis Larbi

doi:10.7490/f1000research.1112646.1

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Monaco G, Lee B, Poidinger M et al. Elaborating deconvolution of immune cell sub-populations from mixed transcriptomic data [version 1; not peer reviewed]. F1000Research 2016, 5(ISCB Comm J):1756 (poster) (https://doi.org/10.7490/f1000research.1112646.1)

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Elaborating deconvolution of immune cell sub-populations from mixed transcriptomic data

Gianni Monaco¹, Bernett Lee, Michael Poidinger, Tze Pin Ng, Joao Pedro de Magalhaes, Anis Larbi

Published 20 Jul 2016 (https://doi.org/10.7490/f1000research.1112646.1)

Author Affiliations

¹ BMSI, A*STAR, Singapore

Copyright © 2016 Monaco G 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 20 Jul 2016

Elaborating deconvolution of immune cell sub-populations from mixed transcriptomic data
[version 1; not peer reviewed]

Gianni Monaco¹, Bernett Lee, Michael Poidinger, Tze Pin Ng, Joao Pedro de Magalhaes, Anis Larbi

Author Affiliations

¹ BMSI, A*STAR, Singapore

Presented at

International Conference on Intelligent Systems for Molecular Biology (ISMB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

deconvolution aging immunology microarray

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