https://orcid.org/0000-0003-0474-8668
References
- Shameer K, Badgeley MA, Miotto R, et al. Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams. Brief Bioinform. 2017 Jan;18(1):105–124.
- Rudman JR, Mei C, Bressler SE, et al. Precision medicine in hearing loss. J Genet Genomics. 2018 Feb 20;45(2):99–109.
- De Guillebon E, Dardenne A, Saldmann A, et al. Beyond the concept of cold and hot tumors for the development of novel predictive biomarkers and the rational design of immunotherapy combination. Int J Cancer. 2020 Jan 30. DOI:10.1002/ijc.32889
- Jamal-Hanjani M, Quezada SA, Larkin J, et al. Translational implications of tumor heterogeneity. Clin Cancer Res. 2015 Mar 15;21(6):1258–1266.
- Turajlic S, Sottoriva A, Graham T, et al. Resolving genetic heterogeneity in cancer. Nat Rev Genet. 2019 Jul;20(7):404–416.
- Gavan SP, Thompson AJ, Payne K. The economic case for precision medicine. Expert Rev Precis Med Drug Dev. 2018;3(1):1–9.
- Wolf SM, Bonham VL, Bruce MA. How can law support development of genomics and precision medicine to advance health equity and reduce disparities? Ethn Dis. 2019 Dec 12;29(Suppl 3):623–628.
- Prainsack B. The “We” in the “Me”: solidarity and health care in the era of personalized medicine. Sci Technol Hum Values. 2018;43(1):21–44.
- Gómez-López G, Dopazo J, Cigudosa JC, et al. Precision medicine needs pioneering clinical bioinformaticians. Brief Bioinform. 2019 May 21;20(3):752–766.
- Drysdale R, Cook CE, Petryszak R, et al. The ELIXIR core data resources: fundamental infrastructure for the life sciences. Bioinformatics. 2020 Jan 17. DOI:10.1093/bioinformatics/btz959
- Piñeiro-Yáñez E, Reboiro-Jato M, Gómez-López G, et al. PanDrugs: a novel method to prioritize anticancer drug treatments according to individual genomic data. Genome Med. 2018 May 31;10(1). DOI:10.1186/s13073-018-0546-1
- Baptista D, Ferreira PG, Rocha M. Deep learning for drug response prediction in cancer. Brief Bioinform. 2020 Jan 17. DOI:10.1093/bib/bbz171
- Attwood TK, Blackford S, Brazas MD, et al. A global perspective on evolving bioinformatics and data science training needs. Brief Bioinform. 2019 Mar;20(2):398–404.
- Via A, Attwood TK, Fernandes PL, et al. A new pan-European Train-the-Trainer programme for bioinformatics: pilot results on feasibility, utility and sustainability of learning. Brief Bioinform. 2019 Mar;20(2):405–415.
- Saunders G, Baudis M, Becker R, et al. Leveraging European infrastructures to access 1 million human genomes by 2022. Nat Rev Genet. 2019 Nov;20(11):693–701.