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Llinares-López, Felipe
64  Ergebnisse:
Personensuche X
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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6

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/..
 
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7

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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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15

Significant Pattern Mining for Biomarker Discovery:

Llinares-López, Felipe
info:eu-repo/grantAgreement/EC/FP7/316861.  , 2018
Link: https://hdl.handle.net/2..
 
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