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Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer

Authors :
Anna Gogleva
Dimitris Polychronopoulos
Matthias Pfeifer
Vladimir Poroshin
Michaël Ughetto
Matthew J. Martin
Hannah Thorpe
Aurelie Bornot
Paul D. Smith
Ben Sidders
Jonathan R. Dry
Miika Ahdesmäki
Ultan McDermott
Eliseo Papa
Krishna C. Bulusu
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Resistance to EGFR inhibitors presents a major obstacle in treating non-small cell lung cancer. Here, the authors develop a recommender system ranking genes based on trade-offs between diverse types of evidence linking them to potential mechanisms of EGFRi resistance.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.5696d9d8b857488d965cb75a14d75b2a
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-29292-7