Pharmacogenomics steps toward personalized medicine, Personalized Medicine, vol.2, issue.4, pp.325-332, 2005. ,
DOI : 10.2217/17410541.2.4.325
Recent progress in automatically extracting information from the pharmacogenomic literature, Pharmacogenomics, vol.11, issue.10, pp.1467-89, 2010. ,
DOI : 10.2217/pgs.10.136
URL : https://hal.archives-ouvertes.fr/inria-00549699
Pharmacogenomics Knowledge for Personalized Medicine, Clinical Pharmacology & Therapeutics, vol.92, issue.4, pp.414-431, 2012. ,
DOI : 10.1038/clpt.2010.279
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660037
To Replicate or Not to Replicate: The Case of Pharmacogenetic Studies: Have Pharmacogenomics Failed, or Do They Just Need Larger-Scale Evidence and More Replication?, Circulation: Cardiovascular Genetics, vol.6, issue.4, pp.413-421, 2013. ,
DOI : 10.1161/CIRCGENETICS.113.000106
Pharmacogenetics and Coumarin Dosing ??? Recalibrating Expectations, New England Journal of Medicine, vol.369, issue.24, pp.2273-2278, 2013. ,
DOI : 10.1056/NEJMp1314529
Linked Data - The Story So Far, International Journal on Semantic Web and Information Systems, vol.5, issue.3, pp.1-22, 2009. ,
DOI : 10.4018/jswis.2009081901
Biological knowledge management: the emerging role of the Semantic Web technologies, Briefings in Bioinformatics, vol.10, issue.4, pp.392-407, 2009. ,
DOI : 10.1093/bib/bbp024
Bio2RDF Release 2: Improved Coverage, Interoperability and Provenance of Life Science Linked Data, Proceedings of the 10th European Semantic Web Conference, ESWC 2013, pp.200-212, 2013. ,
DOI : 10.1007/978-3-642-38288-8_14
The EBI RDF platform: linked open data for the life sciences, Bioinformatics, vol.30, issue.9, pp.1338-1347, 2014. ,
DOI : 10.1093/bioinformatics/btt765
Protein Data Bank Japan (PDBj): maintaining a structural data archive and resource description framework format, Nucleic Acids Research, vol.40, issue.D1, pp.453-60, 2012. ,
DOI : 10.1093/nar/gkr811
URL : http://doi.org/10.1093/nar/gkr811
The life sciences semantic web is full of creeps! Brief Bioinform, pp.275-86, 2006. ,
Emerging practices for mapping and linking life sciences data using RDF ??? A case series, Web Semantics: Science, Services and Agents on the World Wide Web, vol.14, pp.2-13, 2012. ,
DOI : 10.1016/j.websem.2012.02.003
Levels of evidence of annotations, 2016. ,
DrugBank: a knowledgebase for drugs, drug actions and drug targets, Nucleic Acids Research, vol.36, issue.Database, pp.901-907, 2008. ,
DOI : 10.1093/nar/gkm958
URL : http://doi.org/10.1093/nar/gkm958
ClinVar: public archive of relationships among sequence variation and human phenotype, Nucleic Acids Research, vol.42, issue.D1, pp.980-985, 2014. ,
DOI : 10.1093/nar/gkt1113
URL : http://doi.org/10.1093/nar/gkt1113
A side effect resource to capture phenotypic effects of drugs, Molecular Systems Biology, vol.6, issue.1, p.343, 2010. ,
DOI : 10.1093/nar/gkm958
The SIDER database of drugs and side effects, Nucleic Acids Research, vol.44, issue.D1, pp.1075-1084, 2016. ,
DOI : 10.1093/nar/gkv1075
The SIDER database of drugs and side effects, Nucleic Acids Research, vol.44, issue.D1, pp.1075-1084, 1075. ,
DOI : 10.1093/nar/gkv1075
DGIdb 2.0: mining clinically relevant drug???gene interactions, Nucleic Acids Research, vol.44, issue.D1, pp.1036-1080, 2016. ,
DOI : 10.1093/nar/gkv1165
DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes, Database, vol.2015, issue.0, p.28, 2015. ,
DOI : 10.1093/database/bav028
Semantically enabling pharmacogenomic data for the realization of personalized medicine, Pharmacogenomics, vol.13, issue.2, pp.201-213, 2012. ,
DOI : 10.2217/pgs.11.179
URL : https://hal.archives-ouvertes.fr/hal-00752095
Identifying aberrant pathways through integrated analysis of knowledge in pharmacogenomics, Bioinformatics, vol.28, issue.16, pp.2169-75, 2012. ,
DOI : 10.1093/bioinformatics/bts350
Integration and publication of heterogeneous text-mined relationships on the Semantic Web, Journal of Biomedical Semantics, vol.2, issue.Suppl 2, p.10, 2011. ,
DOI : 10.1186/gb-2005-6-5-r46
URL : https://hal.archives-ouvertes.fr/hal-00585215
Relational Kernel Machines for Learning from Graph-Structured RDF Data, Proceedings of the 8th Extended Semantic Web Conference, pp.47-62, 2011. ,
DOI : 10.1007/978-3-642-04174-7_19
Multivariate Prediction for Learning on the Semantic Web, Proceedings of the 20th International Conference on Inductive Logic Programming, pp.92-104, 2010. ,
DOI : 10.1007/978-3-642-21295-6_13
Link Prediction for Annotation Graphs Using Graph Summarization, Proceedings of the 10th International Conference on The Semantic Web -Volume Part I ISWC'11, pp.714-743, 2011. ,
DOI : 10.1007/978-3-642-12683-3_30
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.9297
Graph Kernels for RDF Data, Proceedings of the 9th Extended Semantic Web Conference, ESWC 2012, pp.134-182, 2012. ,
DOI : 10.1007/978-3-642-30284-8_16
A Fast Approximation of the Weisfeiler-Lehman Graph Kernel for RDF Data, Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, Part I, ECML PKDD 2013, pp.606-627, 2013. ,
DOI : 10.1007/978-3-642-40988-2_39
Computing identity co-reference across drug discovery datasets, Proceedings of the 6th International Workshop on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2013. CEUR Workshop Proceedings ,
Discovering and Maintaining Links on the Web of Data, Proceedings of the 8th International Semantic Web Conference, pp.650-65, 2009. ,
DOI : 10.1007/978-3-642-04930-9_41
Interactive Relationship Discovery via the Semantic Web, Proceedings of the 7th Extended Semantic Web Conference, pp.303-320, 2011. ,
DOI : 10.1007/978-3-642-13486-9_21
Substructure counting graph kernels for machine learning from RDF data, Web Semantics: Science, Services and Agents on the World Wide Web, vol.35, pp.71-84, 2015. ,
DOI : 10.1016/j.websem.2015.08.002
Diffusion kernels on graphs and other discrete input spaces, Proceedings of the 19th International Conference on Machine Learning, pp.315-337, 2002. ,
DISCOVERY AND EXPLANATION OF DRUG-DRUG INTERACTIONS VIA TEXT MINING, Biocomputing 2012 ,
DOI : 10.1142/9789814366496_0040
Suggesting valid pharmacogenes by mining linked data, Proceedings of the 8th Semantic Web Applications and Tools for Life Sciences International Conference, SWAT4LS 2015. CEUR Workshop Proceedings 1546, pp.49-58, 2015. ,
DOI : 10.1186/s13326-017-0125-1
URL : https://hal.archives-ouvertes.fr/hal-01239568
Generating Genome-Scale Candidate Gene Lists for Pharmacogenomics, Clinical Pharmacology & Therapeutics, vol.36, issue.2, pp.183-192, 2009. ,
DOI : 10.1093/nar/gki022
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2729176
IMPROVING THE PREDICTION OF PHARMACOGENES USING TEXT-DERIVED DRUG-GENE RELATIONSHIPS, pp.305-319, 2010. ,
DOI : 10.1142/9789814295291_0033
COMBINING HETEROGENOUS DATA FOR PREDICTION OF DISEASE RELATED AND PHARMACOGENES, Biocomputing 2014, pp.328-367, 2014. ,
DOI : 10.1142/9789814583220_0032
Towards pharmacogenomics knowledge discovery with the semantic web, Briefings in Bioinformatics, vol.10, issue.2, pp.153-63, 2009. ,
DOI : 10.1093/bib/bbn056
Ontology-Based Knowledge Discovery in Pharmacogenomics, Adv Exp Med Biol, vol.696, pp.357-66, 2011. ,
DOI : 10.1007/978-1-4419-7046-6_36
URL : https://hal.archives-ouvertes.fr/inria-00585072
Hyperlink Management System and ID Converter System: enabling maintenance-free hyperlinks among major biological databases, Nucleic Acids Research, vol.37, issue.Web Server, pp.17-22, 2009. ,
DOI : 10.1093/nar/gkp355
URL : http://doi.org/10.1093/nar/gkp355
biojp2rdf ? a tool to rdfize biodb.jp data, under mit licence. https://github, 2016. ,
Rxnav: Towards an integrated view on drug information, Proceedings of the 12th World Congress on Health (Medical) Informatics, p.386, 2007. ,
Random Forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
MIForests: Multiple-Instance Learning with Randomized Trees, Proceedings of the 11th European Conference on Computer Vision, Part IV, ECCV 2010, pp.29-42, 2010. ,
DOI : 10.1007/978-3-642-15567-3_3
Multiple instance classification: Review, taxonomy and comparative study, Artificial Intelligence, vol.201, pp.81-105, 2013. ,
DOI : 10.1016/j.artint.2013.06.003
On over-fitting in model selection and subsequent selection bias in performance evaluation, J Mach Learn Res, vol.11, pp.2079-107, 2010. ,
in lung cancer: perspectives and clinical applications, Pharmacogenomics, vol.13, issue.7, pp.789-802, 2012. ,
DOI : 10.2217/pgs.12.54
fusions: current developments and personalized therapies for patients with advanced non-small-cell lung cancer, Pharmacogenomics, vol.14, issue.14, pp.1765-77, 2013. ,
DOI : 10.2217/pgs.13.177
Synergistic antitumor effect of S-1 and the epidermal growth factor receptor inhibitor gefitinib in non-small cell lung cancer cell lines: role of gefitinib-induced down-regulation of thymidylate synthase, Molecular Cancer Therapeutics, vol.7, issue.3, pp.599-606, 2008. ,
DOI : 10.1158/1535-7163.MCT-07-0567
Three-gene predictor of clinical outcome for gastric cancer patients treated with chemotherapy, The Pharmacogenomics Journal, vol.6, issue.2, pp.119-146, 2012. ,
DOI : 10.1038/tpj.2010.87
Genome-wide association study on overall survival of advanced nonsmall cell lung cancer patients treated with carboplatin and paclitaxel, J Thorac Oncol Off Publ Int Assoc Study Lung Cancer, vol.6, issue.1, pp.132-140, 2011. ,
gBoost: a mathematical programming approach to graph classification and regression, Machine Learning, vol.67, issue.2, pp.69-89, 2009. ,
DOI : 10.1007/s10994-008-5089-z
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.9512
gspan: Graph-based substructure pattern mining, Proceedings of the 2002 IEEE International Conference on Data Mining, ICDM 2002 IEEE Computer Society, pp.721-725, 2002. ,
pgx-lod-mining ? adapting mustard to pgx linked data. https://github.com/yassmarzou/pgx-lod-mining, 2016. ,