biological network
Mining Biological Network and genomes A Systematic Review
... A natural mathematical model for metabolic pathways leads to a hypergraph as discussed above, and will lead to the problem of graph isomorphism, canonical labeling and connectivity. Since the main goal in mining ...
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Identification of complex biological network classes using extended correlation analysis
... and biological stress, and bacterial and viral ...The biological network used to validate the logistic synthesis of sensitivity analysis and correlation measurement is the 24 protein concentration, ...
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BioN: a novel interface for biological network visualization
... After examining numerous topics in IV, we turn our attention to proposing a new User Interface (UI) for investigating and exploring large, complex biological networks. To understand what is available to-date, we ...
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Activating and inhibiting connections in biological network dynamics
... biochemical network dynamics [15], we show that the balance between activating and inhibiting connections strongly influences whether net- work dynamics reach steady state or ...predisposes network dynamics ...
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Guideline for comparing functional enrichment of biological network modular structures
... a biological question in itself could be if networks reconstructed from two different conditions using the same methodology is composed of the same biological ...each network to be compared is a ...
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A survey of visualization tools for biological network analysis
... ferent biological types of data, such as sequences, protein structures and families, proteomics data, ontologies, gene expression and other experimental data are stored in dis- tinct ...of biological ...
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Distances and Stability in Biological Network Theory
... Coexpression Network Analysis (WGCNA) and the Topological Overlap Matrix (TOM) approaches described hereafter follow this line, and differ- ent correlation measure can be used within its framework (see ...
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Network inference and biological dynamics
... underlying biological networks are not in general identifiable (Craciun and Pantea, ...true network structure is known, reaction rates themselves may be ...regulatory network corresponds to the ...
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A Survey on Identification of Motifs and Ontology in Medical Database
... The network motif is sub graph which is used as biological ...The network motif can also identify various diseases like coronary artery disease (CAD), micro biota related disease, like pneumonia and ...
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BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge
... specific biological process. Since a gene can participate in multiple biological pro- cesses, genes can have an arbitrary number of functional ...a biological network) can be annotated with a ...
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Identification of new biomarker candidates for glucocorticoid induced insulin resistance using literature mining
... the network and identification of sub networks with a shared biological function, we investigated which drugs and diseases in the literature are specifically linked to this network using a keyword ...
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Original Article Utilizing network pharmacology to explore the underlying mechanism of Cinnamomum cassia Presl in treating osteoarthritis
... The network pharmacology method was adopted to establish the relationship between “Ingre- dients-Disease Targets-Biological Pathway”, screen the potential target of Cinnamomum cassia Presl in treating ...
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ARTIFICIAL NEURAL NETWORK (ANN) INSPIRED FROM BIOLOGICAL NERVOUS SYSTEM
... 1. Its structure massively distributed in parallel. The information processing takes place through the iteration of a great amount of computational neurons, each one of them send exciting or inhibiting signals to other ...
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Region Role Detection in Autism Spectrum Disorder using Graph Theoretical Approaches Geetha Ramani R, Sivaselvi K
... thresholded network of 20% sparsity value is considered for further analysis as all regions in the network are connected To identify the global hubs in the brain network, different centrality ...
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Advanced Guiding Tool for the Selection of Crops
... The world is witnessing fluctuations in terms of agricultural and farming land, this increases the demand of formatting agricultural cooperatives that ensure high supply of agricultural goods. India has been one of the ...
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Organ system network analysis and biological stability in critically ill patients
... systems. Biological instability can sometimes occur when the compensative mechanisms are ...system network evaluation to improve outcomes of critically ill ...system network analysis, comprehensive ...
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Inferring Crohn’s disease association from exome sequences by integrating biological knowledge
... of biological knowledge such as predicted pathogenicity, disease gene annotation, and functional interaction network of human genes, and integrate them with exome sequence data in non-negative matrix ...
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Cancer network activity associated with therapeutic response and synergism
... specific biological pro- cesses and signaling pathways embedded in complex molecular networks ...the network [25, ...of network com- municability [27, ...
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Online Full Text
... consistent biological models able to simulate diverse environmental conditions, in order to predict the right human actions before risky biological damage could be ...distributed network based on ...
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‘Neural Network’ a Supervised Machine Learning Algorithm
... Abstract- As a machine learning algorithm, neural network has been widely used in various research projects to solve various critical problems. The concept of neural networks is inspired from the human brain. The ...
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