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Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review
(Frontiers Media Sa, 2016-03-08)
Essential proteins/genes are indispensable to the survival or reproduction of an organism, and the deletion of such essential proteins will result in lethality or infertility. The identification of essential genes is very ...
Disease persistence and serotype coexistence: An expected feature of human mobility
(2019-08-15)
We present a stochastic model that mimics dengue transmission when two serotypes of the virus are circulating in a human population connected by a Watts–Strogatz complex network that reflects social interactions (human ...
Three topological features of regulatory networks control life-essential and specialized subsystems
(2021-12-01)
Gene regulatory networks (GRNs) play key roles in development, phenotype plasticity, and evolution. Although graph theory has been used to explore GRNs, associations amongst topological features, transcription factors ...
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information
(Biomed Central Ltd., 2009-09-16)
Background: The identification of essential genes is important for the understanding of the minimal requirements for cellular life and for practical purposes, such as drug design. However, the experimental techniques for ...
Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information
(Biomed Central Ltd., 2009-09-16)
Background: The identification of essential genes is important for the understanding of the minimal requirements for cellular life and for practical purposes, such as drug design. However, the experimental techniques for ...
On the use of topological features and hierarchical characterization for disambiguating names in collaborative networks
(EDP SciencesLes Ulis, 2012-08)
Many features of complex systems can now be unveiled by applying statistical physics methods to treat them as social networks. The power of the analysis may be limited, however, by the presence of ambiguity in names, e.g., ...
Predicting the connectivity of primate cortical networks from topological and spatial node properties
(2007)
Abstract
Background
The organization of the connectivity between mammalian cortical areas has become a major subject of study, because of its important role in scaffolding the macroscopic ...
Data-driven topology detector for self-healing strategies in Active Distribution Networks
(Cartagena de Indias, 2023)
The integration of distributed energy resources requires the implementation of control and automation functionalities in distribution networks, which allow them to operate in a more flexible, efficient, and reliable way. ...