Krivonosov, M;
Nazarenko, T;
Bacalini, MG;
Zaikin, A;
Ivanchenko, M;
Franceschi, C;
(2020)
Network markers of DNA methylation in neurodegenerative diseases.
In:
Proceedings of the 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR).
(pp. pp. 138-139).
IEEE: Innopolis, Russia.
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Abstract
One of the ways to reveal underlying complexity in high-dimensional data is a parenclitic network approach. Analysis of DNA methylation requires an understanding of interrelations between different genes that can be achieved through reconstructing unknown connectivity. In this paper, we identify network patterns that occur in DNA methylation of Down syndrome patients associated with aging and disease processes.
| Type: | Proceedings paper |
|---|---|
| Title: | Network markers of DNA methylation in neurodegenerative diseases |
| Event: | 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR) |
| Dates: | 7 Sep 2020 - 9 Sep 2020 |
| ISBN-13: | 9781728172866 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/DCNAIR50402.2020.9216911 |
| Publisher version: | https://doi.org/10.1109/DCNAIR50402.2020.9216911 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | complex networks, parenclitic networks, DNA methylation, Down Syndrome |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Womens Cancer |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10165110 |
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