Zobrazeno 1 - 10
of 3 109
pro vyhledávání: '"Hayes, A. B."'
Protein-protein interaction (PPI) networks provide valuable insights into the function of biological systems, and aligning multiple PPI networks can reveal important functional relationships between different species. However, assessing the quality o
Externí odkaz:
http://arxiv.org/abs/2302.13440
BLAST is a standard tool in bioinformatics for creating local sequence alignments using a "seed-and-extend" approach. Here we introduce an analogous seed-and-extend algorithm that produces local network alignments: BLANT, for Basic Local Alignment of
Externí odkaz:
http://arxiv.org/abs/2207.04353
BLAST is a standard tool in bioinformatics for creating local sequence alignments using a "seed-and-extend" approach. Here we introduce an analogous seed-and-extend algorithm that produces local network alignments: BLANT (Basic Local Alignment of Net
Externí odkaz:
http://arxiv.org/abs/2207.04351
Publikováno v:
npj Syst Biol Appl 8, 25 (2022)
Topological network alignment aims to align two networks node-wise in order to maximize the observed common connection (edge) topology between them. The topological alignment of two Protein-Protein Interaction (PPI) networks should thus expose protei
Externí odkaz:
http://arxiv.org/abs/2204.12623
Autor:
Wang, Siyue, Chen, Xiaoyin, Frederisy, Brent J., Mbakogu, Benedict A., Kanne, Amy D., Khosravi, Pasha, Hayes, Wayne B.
Publikováno v:
"On the current failure--but bright future--of topology-driven biological network alignment". Advances in Protein Chemistry and Structural Biology, Volume 131 (2022), pp. 1-44
The function of a protein is defined by its interaction partners. Thus, topology-driven network alignment of the protein-protein interaction (PPI) networks of two species should uncover similar interaction patterns and allow identification of functio
Externí odkaz:
http://arxiv.org/abs/2204.11999
Publikováno v:
In Journal of Hydrology August 2024 639
Autor:
Jin, Yuwei, Luo, Jason, Fong, Lucent, Chen, Yanhao, Hayes, Ari B., Zhang, Chi, Hua, Fei, Zhang, Eddy Z.
Quantum Approximation Optimization Algorithm (QAOA) is a highly advocated variational algorithm for solving the combinatorial optimization problem. One critical feature in the quantum circuit of QAOA algorithm is that it consists of two-qubit operato
Externí odkaz:
http://arxiv.org/abs/2112.06143
Autor:
Sterling, Eric J.1, Hayes, Jessica B.1 Jhayes11@aum.edu
Publikováno v:
Children's Literature in Education. Jun2024, Vol. 55 Issue 2, p230-247. 18p.
Autor:
Prasher, V. S., Mitchell, A. J., Lister, C. J., Chowdhury, P., Afanasieva, L., Albers, M., Chiara, C. J., Carpenter, M. P., Cline, D., D'Olympia, N., Guess, C. J., Hayes, A. B., Hoffman, C. R., Janssens, R. V. F., Kay, B. P., Khoo, T. L., Korichi, A., Lauritsen, T., Merchan, E., Qiu, Y., Seweryniak, D., Shearman, R., Tandel, S. K., Verras, A., Wu, C. Y., Zhu, S.
Publikováno v:
Phys. Rev. C 104, 044318 (2021)
Non-yrast, excited states in neutron-rich $^{186}$W were populated via inelastic-scattering reactions using beams of $^{136}$Xe nuclei accelerated to 725 and 800 MeV. Levels populated in the reactions were investigated via particle-$ \gamma $ coincid
Externí odkaz:
http://arxiv.org/abs/2110.08347
Publikováno v:
In Progress in Nuclear Energy April 2024 169