Felipe Llinares-López
Felipe Llinares-López
Google Research, Brain Team
Verified email at google.com
Cited by
Cited by
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
Wasserstein weisfeiler-lehman graph kernels
M Togninalli, E Ghisu, F Llinares-López, B Rieck, K Borgwardt
arXiv preprint arXiv:1906.01277, 2019
Fast and memory-efficient significant pattern mining via permutation testing
F Llinares-López, M Sugiyama, L Papaxanthos, K Borgwardt
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
graphkernels: R and Python packages for graph comparison
M Sugiyama, ME Ghisu, F Llinares-López, K Borgwardt
Bioinformatics 34 (3), 530-532, 2018
Significant subgraph mining with multiple testing correction
M Sugiyama, FL López, N Kasenburg, KM Borgwardt
Proceedings of the 2015 SIAM International Conference on Data Mining, 37-45, 2015
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits
F Llinares-López, DG Grimm, DA Bodenham, U Gieraths, M Sugiyama, ...
Bioinformatics 31 (12), i240-i249, 2015
Finding significant combinations of features in the presence of categorical covariates
L Papaxanthos, F Llinares-López, D Bodenham, K Borgwardt
Advances in neural information processing systems, 2279-2287, 2016
Genome-wide genetic heterogeneity discovery with categorical covariates
F Llinares-López, L Papaxanthos, D Bodenham, D Roqueiro, ...
Bioinformatics 33 (12), 1820-1828, 2017
Graph kernels: State-of-the-art and future challenges
K Borgwardt, E Ghisu, F Llinares-López, L O'Bray, B Rieck
arXiv preprint arXiv:2011.03854, 2020
Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma
Y Liu, M Brossard, C Sarnowski, A Vaysse, M Moffatt, ...
Scientific reports 7 (1), 1-10, 2017
CASMAP: detection of statistically significant combinations of SNPs in association mapping
F Llinares-López, L Papaxanthos, D Roqueiro, D Bodenham, K Borgwardt
Bioinformatics 35 (15), 2680-2682, 2019
Machine learning for biomarker discovery: significant pattern mining
F Llinares-López, K Borgwardt
Analyzing Network Data in Biology and Medicine: An Interdisciplinary …, 2019
Efficient and Modular Implicit Differentiation
M Blondel, Q Berthet, M Cuturi, R Frostig, S Hoyer, F Llinares-López, ...
arXiv preprint arXiv:2105.15183, 2021
Significant Pattern Mining for Biomarker Discovery
F Llinares-López
ETH Zurich, 2018
Interference-aware MIMO precoder design with realistic power constraints
F Llinares-López, M Sánchez-Fernández, E Parrado-Hernandez, ...
2013 IEEE International Conference on Communications Workshops (ICC), 164-168, 2013
DeepConsensus: Gap-Aware Sequence Transformers for Sequence Correction
G Baid, DE Cook, K Shafin, T Yun, F Llinares-Lopez, Q Berthet, ...
bioRxiv, 2021
Direct Antimicrobial Resistance Prediction from clinical MALDI-TOF mass spectra using Machine Learning
C Weis, A Cuénod, B Rieck, F Llinares-López, O Dubuis, S Graf, C Lang, ...
bioRxiv, 2020.07. 30.228411, 2021
Wasserstein Weisfeiler-Lehman Graph Kernels
M Togninalli, E Ghisu, F Llinares-López, BA Rieck, K Borgwardt
Advances in Neural Information Processing Systems 32 9, 6407-6417, 2020
Network-based analysis of genome-wide association data identifies a gene sub-network underlying childhood-onset asthma
Y Liu, M Brossard, C Sarnowski, P Margaritte-Jeannin, F Llinares-López, ...
Genetic Epidemiology 39 (7), 565-566, 2015
Clustering techniques for base station coordination in a wireless cellular system
F Llinares López
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