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As a walking algorithm, the same longitudinal acceleration trot gait was used.
Therefore, we implemented a network walking algorithm to calculate connectivity indices in the interactome.
We further developed a "network walking" algorithm to estimate network perturbation by small molecule kinase inhibitors.
Accordingly, we developed a "network walking" algorithm to model the connection cascade of kinases within the network.
We wrote a "network walking" algorithm in a recursive function with which we calculated the number of unique genes, L ij, connecting to the ith gene at the jth step along the connection path in the interactome.
We developed a network walking algorithm to extract connectivity information from the interactome and applied it to simulate the level of network perturbation by three multi-targeted anti-angiogenic kinase inhibitors.
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We have implemented simple walking algorithms for walking on flat terrain.
As of Summer 1999 we have developed walking algorithms for fast walking up to 1.2 meters per second.
Wang, F. & Landau, D. Efficient, multiple-range random walk algorithm to calculate the density of states.
A generalized form of the random walk algorithm to simulate diffusion processes is introduced.
The simulations were performed through a discrete random-walk algorithm computed at the pore scale.
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