Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Christopher Freas"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S18, Pp 1-15 (2020)
Abstract Background Drug resistance is a critical problem limiting effective antiviral therapy for HIV/AIDS. Computational techniques for predicting drug resistance profiles from genomic data can accelerate the appropriate choice of therapy. These te
Externí odkaz:
https://doaj.org/article/eb952b8310854621927508de276c57f8
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S11, Pp 1-6 (2018)
Abstract Background Drug resistance in HIV is the major problem limiting effective antiviral therapy. Computational techniques for predicting drug resistance profiles from genomic data can accelerate the appropriate choice of therapy. These technique
Externí odkaz:
https://doaj.org/article/28cced70cf8a4cd2b8a5fb13c8a735cb
Autor:
Shah, Dhara1 (AUTHOR), Freas, Christopher1 (AUTHOR), Weber, Irene T.2 (AUTHOR), Harrison, Robert W.1,2 (AUTHOR) rwh@gsu.edu
Publikováno v:
BMC Bioinformatics. 12/30/2020 Supplement 18, Vol. 21 Issue 18, p1-15. 15p.
This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical di
