Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Andrada Fiscutean"'
Autor:
Nitesh Kumar Sharma, Ram Ayyala, Dhrithi Deshpande, Yesha Patel, Viorel Munteanu, Dumitru Ciorba, Viorel Bostan, Andrada Fiscutean, Mohammad Vahed, Aditya Sarkar, Ruiwei Guo, Andrew Moore, Nicholas Darci-Maher, Nicole Nogoy, Malak Abedalthagafi, Serghei Mangul
Publikováno v:
PeerJ Computer Science, Vol 10, p e2066 (2024)
Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, the lack of practices of sharing research outputs, such as data, source code and methods,
Externí odkaz:
https://doaj.org/article/489126e4e1a24a4faf14ed9bf4c3e6ee
Autor:
Juncheng Wu, Anushka Rajesh, Yu-Ning Huang, Karishma Chhugani, Rajesh Acharya, Kerui Peng, Ruth D. Johnson, Andrada Fiscutean, Carla Daniela Robles-Espinoza, Francisco M. De La Vega, Riyue Bao, Serghei Mangul
Publikováno v:
Nature Biotechnology. 40:133-137
Autor:
Aditya Sarkar, Augustin Giros, Louis Mockly, Jaden Moore, Andrew Moore, Anish Nagareddy, Boyang Fu, Andrada Fiscutean, Karishma Chhugani, Nicholas Darci-Maher, Yesha M. Patel, Varuni Sarwal, Yutong Chang, Srishti Ginjala, Lana X. Garmire, Riyue Bao, Sriram Sankararaman, Rayan Chikhi, Serghei Mangul
Microblogging platform Twitter allows researchers to showcase their work, receive constructive feedback, find jobs, and build scientific collaborations. While existing literature has analyzed the benefits of Twitter in the development and distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::233196e5e65dd237cac040289334408f
https://doi.org/10.1101/2022.04.22.488804
https://doi.org/10.1101/2022.04.22.488804
Autor:
Andrada Fiscutean
Publikováno v:
Nature. 600:S48-S49
Autor:
Andrada Fiscutean
Publikováno v:
Nature. 592:S10-S11
Machine learning can tell athletes when to train and when to stop. Machine learning can tell athletes when to train and when to stop.
Autor:
Andrada Fiscutean
Publikováno v:
Nature.
Smartphone apps and peripherals that simplify the diagnosis of sight problems could help doctors to reach billions of people in low-income countries. Smartphone apps and peripherals that simplify the diagnosis of sight problems could help doctors to