Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dries Van Daele"'
Publikováno v:
Bioinformatics. 38:3245-3251
Motivation Network-based driver identification methods that can exploit mutual exclusivity typically fail to detect rare drivers because of their statistical rigor. Propagation-based methods in contrast allow recovering rare driver genes, but the int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61a85c81c5aa3820e4f95018b6689d58
https://doi.org/10.1093/bioinformatics/btac312
https://doi.org/10.1093/bioinformatics/btac312
Autor:
Oliver Pötz, Michael Kühl, Silke D. Kühlwein, Barbara Kracher, Luc De Raedt, Hans A. Kestler, Astrid S. Pfister, Alexander Groß, Thomas O. Joos, Sebastian Wiese, Dries Van Daele, Katrin Luckert, Johann M. Kraus
Publikováno v:
Communications Biology, Vol 2, Iss 1, Pp 1-12 (2019)
Communications Biology
Communications Biology
Dynamic models analyzing gene regulation and metabolism face challenges when adapted to modeling signal transduction networks. During signal transduction, molecular reactions and mechanisms occur in different spatial and temporal frames and involve f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4276b506695891650cb756fb7ce77550
http://link.springer.com/article/10.1038/s42003-018-0268-3
http://link.springer.com/article/10.1038/s42003-018-0268-3
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030438227
PKDD/ECML Workshops (1)
PKDD/ECML Workshops (1)
From a set of technical drawings, we learn a parser program to interpret the tabular data contained in such a drawing. This enables automatic reasoning and learning on top of a database of technical drawings. For example to help designers find or com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27d5dd3998c4deb77e66c1b25bf5a6cc
https://doi.org/10.1007/978-3-030-43823-4_5
https://doi.org/10.1007/978-3-030-43823-4_5
Publikováno v:
Computers & Operations Research. 132:105299
Semi-supervised or constrained graph clustering incorporates prior information in order to improve clustering results. Pairwise constraints are often utilized to guide the clustering process. This work addresses a constrained graph clustering problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2e108c83f415c467fc38a1ec5350ab9
https://doi.org/10.1016/j.cor.2021.105299
https://doi.org/10.1016/j.cor.2021.105299
Manufacturing companies rely on technical drawings to develop new designs or adapt designs to customer preferences. The database of historical and novel technical drawings thus represents the knowledge that is core to their operations. With current m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b07137d75c4b1675bb55068b1327bfe