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381“…The paper has proposed an effective image inpainting method using generative adversarial networks, which is composed of two mutually independent generative confrontation networks. …”
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382“…The potential of ad hoc networks, which enable flexible and dynamic network establishment only by mobile terminals equipped with wireless communication devices, has recently attracted attention for the coming IoT era. …”
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383por Zhao, Yuzhen, Lang, Tingting, Li, Chaonian, Yin, Wenbo, Sun, Yitian, Yao, Ruijuan, Ma, Cheng, Shi, Zuhui, Wang, Dong, Miao, Zongcheng“…EM, POM, and electro-optic curves were then used to examine the modified polymer network structure and the electro-optical properties of these samples. …”
Publicado 2023
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384“…METHODS: To find effective regions related to different emotion recognition and intervention, our research focuses on finding emotional EEG brain networks using spiking neural network algorithm with binary coding. …”
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385“…This study examines how individuals come to occupy communication network positions and the effect of selection processes on group performance. …”
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387“…Identification of communities in complex systems is an essential part of network analysis. Accordingly, measuring similarities between communities is a fundamental part of analysing community structure in different, yet related, networks. …”
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388“…Discovery of organizing principles of biological networks can be enhanced by embracing the notion that there is a deep interplay between network structure and system dynamics. …”
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389por Wang, Chen, Xuan, Jianhua, Chen, Li, Zhao, Po, Wang, Yue, Clarke, Robert, Hoffman, Eric“…BACKGROUND: Network Component Analysis (NCA) has shown its effectiveness in discovering regulators and inferring transcription factor activities (TFAs) when both microarray data and ChIP-on-chip data are available. …”
Publicado 2008
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390“…BACKGROUND: Network Component Analysis (NCA) has been used to deduce the activities of transcription factors (TFs) from gene expression data and the TF-gene binding relationship. …”
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391“…We investigate interaction networks that we derive from multivariate time series with methods frequently employed in diverse scientific fields such as biology, quantitative finance, physics, earth and climate sciences, and the neurosciences. …”
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392“…Since duty cycles and operational frequencies are different among networks, we need a mechanism to allow networks to efficiently exchange messages. …”
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393“…Hence, to elucidate disease ontology fully and to reduce the cost of drug development, gene regulatory networks (GRNs) have to be constructed. During the last decade, many GRN inference algorithms based on genome-wide data have been developed to unravel the complexity of gene regulation. …”
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395“…Fitting a network model to these quantities as measured in sexual behavior surveys is expected to result in a good description of Chlamydia trachomatis transmission in terms of the heterogeneity of the distribution of infection in the population. …”
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396“…Can different noise levels in the measurements be assessed by analyzing network structure? Because proteomic regulation is inherently co-operative, modular and redundant, it is inherently compressible when represented as a network. …”
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397“…BACKGROUND: Despite large amounts of available genomic and proteomic data, predicting the structure and response of signaling networks is still a significant challenge. While statistical method such as Bayesian network has been explored to meet this challenge, employing existing biological knowledge for network prediction is difficult. …”
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398por Holme, Petter“…One of network epidemiology's central assumptions is that the contact structure over which infectious diseases propagate can be represented as a static network. …”
Publicado 2013
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399“…We define the steering kernel as a minimal set of steering nodes to which control signals must directly be applied for transition between two specific states of a network, and propose a graph-theoretic algorithm to identify the steering kernel of a network for transition between two specific states. …”
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400por Studham, Matthew E., Tjärnberg, Andreas, Nordling, Torbjörn E.M., Nelander, Sven, Sonnhammer, Erik L. L.“…Motivation: Gene regulatory network (GRN) inference reveals the influences genes have on one another in cellular regulatory systems. …”
Publicado 2014
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