<p>netDx: Building an interpretable patient classifier with multi-omic data integration andpatient similarity networks</p>

Shraddha Pai; Philipp Weber; Ruth Isserlin; Hussam Kaka; Shirley Hui; Mohammad  Shah; Luca Giudice; Rosalba Giugno; Anne Krogh Nohr; Jan Baumbach; Gary D. Bader

doi:10.7490/f1000research.1118194.1

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Pai S, Weber P, Isserlin R et al. netDx: Building an interpretable patient classifier with multi-omic data integration andpatient similarity networks [version 1; not peer reviewed]. F1000Research 2020, 9:918 (slides) (https://doi.org/10.7490/f1000research.1118194.1)

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netDx: Building an interpretable patient classifier with multi-omic data integration andpatient similarity networks

Shraddha Pai¹, Philipp Weber, Ruth Isserlin, Hussam Kaka, Shirley Hui, Mohammad Shah, Luca Giudice, Rosalba Giugno, Anne Krogh Nohr, Jan Baumbach, Gary D. Bader¹

Published 05 Aug 2020 (https://doi.org/10.7490/f1000research.1118194.1)

Author Affiliations

¹ University of Toronto, Canada

Copyright © 2020 Pai S 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 05 Aug 2020

netDx: Building an interpretable patient classifier with multi-omic data integration andpatient similarity networks
[version 1; not peer reviewed]

Shraddha Pai¹, Philipp Weber, Ruth Isserlin, Hussam Kaka, Shirley Hui, Mohammad Shah, Luca Giudice, Rosalba Giugno, Anne Krogh Nohr, Jan Baumbach, Gary D. Bader¹

Author Affiliations

¹ University of Toronto, Canada

Presented at

Bioconductor Annual Conference 2020

Competing Interests

No competing interests were disclosed

Keywords

Data integration, genomics, patient classification, networks, software, machine learning

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