BIOLOGICAL NETWORKS
Effective identification of conserved pathways in biological networks using hidden Markov models.
... of biological interactions on a global scale for an increasing number of organisms ...interaction networks provide invaluable resources for investigating the functional organization of cells and ...
8
Dominating biological networks.
... to biological networks, because they require nodes to be assigned meaningful numerical IDs, ...computer networks; clearly, proteins in PPI networks do not have numerically meaningful ...
12
Evolution, interactions, and biological networks.
... of networks has expanded rapidly over the last 10 years; networks are now widely recognized not only as outcomes of complex interactions, but as key determinants of structure, function, and dynamics in ...
3
Structural control of ecological and biological networks
... and biological networks (Ferrarini, ...nonlinear networks (Ferrarini, 2015), impose early or late stability to any kind of ecological and biological network (Ferrarini, 2015b) and locally ...
9
Logical impossibilities in biological networks
... Abstract: Biological networks are complex and involve several kinds of ...proper biological function it is important for these biomolecules to act at an individual level and act at the level of ...
3
A method for identifying hierarchical sub-networks / modules and weighting network links based on their similarity in sub-network / module affiliation
... Some networks, including biological networks, consist of hierarchical sub-networks / modules. Based on my previous study, in present study a method for both identifying hierarchical ...
12
Modelling and Simulation of Biological Regulatory Networks by Stochastic Petri Nets
... several biological networks including MAL- associated BRN [10], dengue virus pathogenesis and clearance mechanism [11], tail-resorption in tadpole's metamorphosis [12] and immunity control mechanism in ...
6
Network motif identification and structure detection with exponential random graph models
... regulatory networks, protein-protein interaction, and metabolic ...these networks functions independently but instead they form a series of interdependent networks (Barabasi and Oltvai, ...cellular ...
15
PLoS Computational Biology conference postcards from PSB 2010.
... Marcotte’s presentation was well re- ceived by the attendees. The session concerned several different types of dy- namics, such as spatial, temporal, tissue, or disease context, etc. Marcotte’s work in particular ...
3
Stability analysis of a biological network
... of biological and biochemical networks where molecules are represented as nodes and the molecular interactions are so called ...these networks it is very important to discuss and study their ...
7
Commercial Networks and File-sharing Networks: Competition or Complementarity?
... peer-to-peer networks should lead one to consider such new consumption patterns, to fully appreciate the role of the Internet and the internauts in the shaping of both demand and supply ...peer-to-peer ...
15
Identification of the non-linear systems using internal recurrent neural networks
... Because the suggested structure contains internal elements of delay and memorising, the neural network will be called internal recurrent neural network. The two neural networks will identify the subsystems 1 ...
8
INTEGRATING IN LIBRARIANSHIP INFORMATION
... There are no data on what percent of students in library schools are exposed to these courses, but it is evident that the percentage is increasing. Still there is a large percent of library school graduates from schools ...
9
An Acad Bras Cienc (2016) 88 (3 Suppl.)
... analysis of parameter values (e.g., Arhonditsis et al. 2008, Chu et al. 2007, Roy et al. 2012), studies that evaluated the sensitivity of model output to different functional forms (e.g., Bonachela et al. 2011, Gentleman ...
21
Monitoring of urban transportation networks using wireless sensor networks
... Sensors are a key issue in intelligent environments, and currently we are faced with smaller, cheaper and low-power sensors, which can be deployed in many places. These sensors have limited processing power, storage and ...
59
RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.
... the biological data confirm that the correctness of the inferred network depends on the topological properties of the modules: very different accuracy results are obtained on the different submodules of ...
19
Summarizing ETDs with deep learning
... Sequence Networks, which uses a multilayered Long Short-Term Memory (LSTM) to map the input sequence to a vector of a fixed dimensionality, and then another deep LSTM to decode the target sequence from the ...
7
Modularity in protein complex and drug interactions reveals new polypharmacological properties.
... large networks are able to find separated communities, whereas several of the actual networks are made of overlapping cohesive groups of nodes ...projected networks but also in the bipartite network ...
13
AN ANALYSIS OF MOZAMBIQUE’S POLITICAL AND ECONOMIC NETWORKS
... business networks of Mozambique, with some expected results and some unexpected ones, and it should be used to observe the changes that will occur in this network over ...
20
Performance assessment of real-time data management on wireless sensor networks
... sensor networks. In fact nowadays, systems based on sensor networks are getting increasingly used in many areas of the knowledge, giving rise to several flavours of applications such as financial market, ...
165