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Percolate:An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response

Autor: Mourragui, Soufiane M.C., Loog, Marco, van Nee, Mirrelijn, de Wiel, Mark A.van, Reinders, Marcel J.T., Wessels, Lodewyk F.A.

Publikováno v: Mourragui, S M C, Loog, M, van Nee, M, de Wiel, M A V, Reinders, M J T & Wessels, L F A 2023, Percolate : An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response . in H Tang (ed.), Research in Computational Molecular Biology-27th Annual International Conference, RECOMB 2023, Proceedings . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13976 LNBI, pp. 120-138, 27th International Conference on Research in Computational Molecular Biology, RECOMB 2023, Istanbul, Turkey, 16/04/2023 . https://doi.org/10.1007/978-3-031-29119-7_8

Motivation: Anti-cancer drugs may elicit resistance or sensitivity through mechanisms which involve several genomic layers. Nevertheless, we have demonstrated that gene expression contains most of the predictive capacity compared to the remaining omi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2751::8b51dde5140a6121477a9888dc1a7bfd
https://curis.ku.dk/portal/da/publications/percolate(53c8066d-0dbc-4673-b14a-c75bc45eb197).html

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