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Llinares-Lopez, Felipe
64
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Online (64)
Mediatypes
Articles (Online) (39)
Bookchapter (Online) (1)
OpenAccess-fulltext (24)
Sorted by: Relevance
Sorted by: Year
?
1
Deep embedding and alignment of protein sequences:
Llinares-López, Felipe
;
Berthet, Quentin
;
Blondel, Mathieu
..
Nature Methods. 20 (2022) 1 - p. 104-111 , 2022
Link:
https://doi.org/10.1038/..
?
2
DeepConsensus improves the accuracy of sequences with a gap..:
Baid, Gunjan
;
Cook, Daniel E.
;
Shafin, Kishwar
...
Nature Biotechnology. , 2022
Link:
https://doi.org/10.1038/..
?
3
CASMAP: detection of statistically significant combinations..:
Llinares-López, Felipe
;
Papaxanthos, Laetitia
;
Roqueiro, Damian
...
Bioinformatics. 35 (2018) 15 - p. 2680-2682 , 2018
Link:
https://doi.org/10.1093/..
?
4
graphkernels: R and Python packages for graph comparison:
Sugiyama, Mahito
;
Ghisu, M Elisabetta
;
Llinares-López, Felipe
..
Bioinformatics. 34 (2017) 3 - p. 530-532 , 2017
Link:
https://doi.org/10.1093/..
?
5
Genome-wide genetic heterogeneity discovery with categorica..:
Llinares-López, Felipe
;
Papaxanthos, Laetitia
;
Bodenham, Dean
...
Bioinformatics. 33 (2017) 12 - p. 1820-1828 , 2017
Link:
https://doi.org/10.1093/..
?
6
Fast and Memory-Efficient Significant Pattern Mining via Pe..:
, In:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
,
Llinares-López, Felipe
;
Sugiyama, Mahito
;
Papaxanthos, Laetitia
. - p. 725-734 , 2015
Link:
https://dl.acm.org/doi/1..
?
7
Genome-wide detection of intervals of genetic heterogeneity..:
Llinares-López, Felipe
;
Grimm, Dominik G.
;
Bodenham, Dean A.
...
Bioinformatics. 31 (2015) 12 - p. i240-i249 , 2015
Link:
https://doi.org/10.1093/..
?
8
Learning Energy Networks with Generalized Fenchel-Young Los..:
Blondel, Mathieu
;
Llinares-López, Felipe
;
Dadashi, Robert
..
http://arxiv.org/abs/2205.09589. , 2022
Link:
http://arxiv.org/abs/220..
?
9
Efficient and Modular Implicit Differentiation:
Blondel, Mathieu
;
Berthet, Quentin
;
Cuturi, Marco
...
http://arxiv.org/abs/2105.15183. , 2021
Link:
http://arxiv.org/abs/210..
?
10
Wasserstein Weisfeiler-Lehman Graph Kernels:
Togninalli, Matteo
;
Ghisu, Elisabetta
;
Llinares-López, Felipe
...
info:eu-repo/semantics/altIdentifier/isbn/978-1-7138-0793-3. , 2020
Link:
https://hdl.handle.net/2..
?
11
Graph Kernels: State-of-the-Art and Future Challenges:
Borgwardt, Karsten
;
Ghisu, Elisabetta
;
Llinares-López, Felipe
..
http://arxiv.org/abs/2011.03854. , 2020
Link:
http://arxiv.org/abs/201..
?
12
Machine Learning for Biomarker Discovery: Significant Patte..:
Llinares-López, Felipe
;
Borgwardt, Karsten
info:eu-repo/semantics/altIdentifier/doi/10.1017/9781108377706.009. , 2019
Link:
https://hdl.handle.net/2..
?
13
Wasserstein Weisfeiler-Lehman Graph Kernels:
Togninalli, Matteo
;
Ghisu, Elisabetta
;
Llinares-López, Felipe
..
http://arxiv.org/abs/1906.01277. , 2019
Link:
http://arxiv.org/abs/190..
?
14
CASMAP: detection of statistically significant combinations..:
Llinares-López, Felipe
;
Papaxanthos, Laetitia
;
Roqueiro, Damian
..
info:eu-repo/semantics/altIdentifier/doi/10.1093/bioinformatics/bty1020. , 2019
Link:
https://hdl.handle.net/2..
?
15
Significant Pattern Mining for Biomarker Discovery:
Llinares-López, Felipe
info:eu-repo/grantAgreement/EC/FP7/316861. , 2018
Link:
https://hdl.handle.net/2..
1-15