Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Míriam Barrabés"'
Autor:
Sonia Moreno-Grau, Manvi Vernekar, Arturo Lopez-Pineda, Daniel Mas-Montserrat, Míriam Barrabés, Consuelo D. Quinto-Cortés, Babak Moatamed, Ming Ta Michael Lee, Zhenning Yu, Kensuke Numakura, Yuta Matsuda, Jeffrey D. Wall, Alexander G. Ioannidis, Nicholas Katsanis, Tomohiro Takano, Carlos D. Bustamante
Publikováno v:
Human Genomics, Vol 18, Iss 1, Pp 1-12 (2024)
Abstract Background Polygenic risk scores (PRS) derived from European individuals have reduced portability across global populations, limiting their clinical implementation at worldwide scale. Here, we investigate the performance of a wide range of P
Externí odkaz:
https://doaj.org/article/35867bdc28c94826baeb727a7d8ffbc0
Autor:
Emily R. Bartusiak, Míriam Barrabés, Aigerim Rymbekova, Julia Gimbernat-Mayol, Cayetana López, Lorenzo Barberis, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
We analyze dog genotypes (i.e., positions of dog DNA sequences that often vary between different dogs) in order to predict the corresponding phenotypes (i.e., unique observed characteristics). More specifically, given chromosome data from a dog, we a
Autor:
Maria Perera, Daniel Mas Montserrat, Míriam Barrabés, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G. Ioannidis
The generation of synthetic genomic sequences using neural networks has potential to ameliorate privacy and data sharing concerns and to mitigate potential bias within datasets due to under-representation of some population groups. However, there is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7556d57918cbf458d692e17e72380211
https://hdl.handle.net/2117/387315
https://hdl.handle.net/2117/387315