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Joris Cadow
33
results:
Search for persons
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Online (33)
Mediatypes
Articles (Online) (7)
Bookchapter (Online) (1)
OpenAccess-fulltext (25)
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?
1
Accelerating material design with the generative toolkit fo..:
Manica, Matteo
;
Born, Jannis
;
Cadow, Joris
...
npj Computational Materials. 9 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
?
2
Data-driven molecular design for discovery and synthesis of..:
Born, Jannis
;
Manica, Matteo
;
Cadow, Joris
...
Machine Learning: Science and Technology. 2 (2021) 2 - p. 025024 , 2021
Link:
https://doi.org/10.1088/..
?
3
On the feasibility of deep learning applications using raw ..:
Cadow, Joris
;
Manica, Matteo
;
Mathis, Roland
...
Bioinformatics. 37 (2021) Supplement_1 - p. i245-i253 , 2021
Link:
https://doi.org/10.1093/..
?
4
PaccMannRL: De novo generation of hit-like anticancer molec..:
Born, Jannis
;
Manica, Matteo
;
Oskooei, Ali
...
iScience. 24 (2021) 4 - p. 102269 , 2021
Link:
https://doi.org/10.1016/..
?
5
PaccMann: a web service for interpretable anticancer compou..:
Rodríguez Martínez, María
;
Oskooei, Ali
;
Manica, Matteo
..
Nucleic Acids Research. 48 (2020) W1 - p. W502-W508 , 2020
Link:
https://doi.org/10.1093/..
?
6
COSIFER: a Python package for the consensus inference of mo..:
Manica, Matteo
;
Bunne, Charlotte
;
Mathis, Roland
...
Bioinformatics. 37 (2020) 14 - p. 2070-2072 , 2020
Link:
https://doi.org/10.1093/..
?
7
PaccMannRL: Designing Anticancer Drugs From Transcriptomic ..:
, In:
Lecture Notes in Computer Science; Research in Computational Molecular Biology
,
Born, Jannis
;
Manica, Matteo
;
Oskooei, Ali
.. - p. 231-233 , 2020
Link:
https://doi.org/10.1007/..
?
8
PIMKL: Pathway-Induced Multiple Kernel Learning:
Manica, Matteo
;
Cadow, Joris
;
Mathis, Roland
.
npj Systems Biology and Applications. 5 (2019) 1 - p. , 2019
Link:
https://doi.org/10.1038/..
?
9
Accelerating material design with the generative toolkit fo..:
Matteo Manica
;
Jannis Born
;
Joris Cadow
...
https://doi.org/10.1038/s41524-023-01028-1. , 2023
Link:
https://doi.org/10.1038/..
?
10
On the feasibility of deep learning applications using raw ..:
Joris Cadow
;
Matteo Manica
;
Roland Mathis
...
info:eu-repo/grantAgreement/EC/H2020/826121/. , 2021
Link:
https://zenodo.org/recor..
?
11
Data-driven molecular design for discovery and synthesis of..:
Jannis Born
;
Matteo Manica
;
Joris Cadow
...
info:eu-repo/grantAgreement/EC/H2020/826121/. , 2021
Link:
https://zenodo.org/recor..
?
12
PaccMannRL: De novo generation of hit-like anticancer molec..:
Jannis Born
;
Matteo Manica
;
Ali Oskooei
...
http://www.sciencedirect.com/science/article/pii/S2589004221002376. , 2021
Link:
https://doi.org/10.1016/..
?
13
Accelerating Material Design with the Generative Toolkit fo..:
Manica, Matteo
;
Born, Jannis
;
Cadow, Joris
...
http://arxiv.org/abs/2207.03928. , 2022
Link:
http://arxiv.org/abs/220..
?
14
PaccMannRL: De novo generation of hit-like anticancer molec..:
Born, Jannis
;
Manica, Matteo
;
Oskooei, Ali
...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.isci.2021.102269. , 2021
Link:
https://hdl.handle.net/2..
?
15
PaccMann(RL): De novo generation of hit-like anticancer mol..:
Born, Jannis
;
Manica, Matteo
;
Oskooei, Ali
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022157/. , 2021
Link:
http://www.ncbi.nlm.nih...
1-15