Hamiltonian energy as an efficient approach to identify the significant key regulators in biological networks.
The topological characteristics of biological networks enable us to identify the key nodes in terms of modularity. However, due to a large size of the biological networks with many hubs and functional modules across intertwined layers within the network, it often becomes difficult to accomplish the...
Main Authors: | Shazia Haider, Kalaiarasan Ponnusamy, R K Brojen Singh, Anirban Chakraborti, Rameshwar N K Bamezai |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0221463 |
Similar Items
-
In silico screening, genotyping, molecular dynamics simulation and activity studies of SNPs in pyruvate kinase M2.
by: Ponnusamy Kalaiarasan, et al.
Published: (2015-01-01) -
Efficient simulation of Hamiltonians
by: Kothari, Robin
Published: (2010) -
Efficient simulation of Hamiltonians
by: Kothari, Robin
Published: (2010) -
Hamiltonian identifiability assisted by a single-probe measurement
by: Sone, Akira, et al.
Published: (2017) -
Hamiltonian simulation in the low-energy subspace
by: Burak Şahinoğlu, et al.
Published: (2021-07-01)