Results 301 to 310 of about 946,920 (339)
Some of the next articles are maybe not open access.
Modeling of Hysteresis in Gene Regulatory Networks
Bulletin of Mathematical Biology, 2012Hysteresis, observed in many gene regulatory networks, has a pivotal impact on biological systems, which enhances the robustness of cell functions. In this paper, a general model is proposed to describe the hysteretic gene regulatory network by combining the hysteresis component and the transient dynamics.
Hu, J., Qin, K.R., Xiang, C., Lee, T.H.
openaire +2 more sources
Visualization of Gene Regulatory Networks
2009Networks are a useful visualization tool for representing many types of biological data such as gene regulations. In this paper, We will present a novel graph drawing technique for visualizing gene regulatory networks. This technique is based on drawing the shortest paths between genes of interest using breadth-first-search algorithm.
Muhieddine El Kaissi +4 more
openaire +1 more source
Identification of Minimum Set of Master Regulatory Genes in Gene Regulatory Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020Identification of master regulatory genes is one of the primary challenges in systems biology. The minimum dominating set problem is a powerful paradigm in analyzing such complex networks. In these models, genes stand as nodes and their interactions are assumed as edges. Here, members of a minimal dominating set could be regarded as master genes.
Somayeh Bakhteh +2 more
openaire +2 more sources
Estimation of Gene Regulatory Networks
Postdoc Journal, 2013Complex gene regulatory networks, not individual genes, control cellular function. Genes and gene products act together to determine cellular phenotypes. Estimation of these networks is necessary to understand cellular mechanisms, detect differences in gene regulation between cell types, and predict cellular response to interventions.
openaire +2 more sources
Regulatory networks in plant responses to drought and cold stress
Plant PhysiologyDrought and cold represent distinct types of abiotic stress, each initiating unique primary signaling pathways in response to dehydration and temperature changes, respectively.
June-Silk Kim +3 more
semanticscholar +1 more source
2007
Two gene regulatory networks inferred from different types of data are considered in this chapter. Gene expression networks are networks inferred from microarray time series data and transcription factor networks are networks obtained from a new genome-wide technique that allows an identification of all of the DNA binding sites for each transcription ...
T. Gregory Dewey, David J. Galas
openaire +1 more source
Two gene regulatory networks inferred from different types of data are considered in this chapter. Gene expression networks are networks inferred from microarray time series data and transcription factor networks are networks obtained from a new genome-wide technique that allows an identification of all of the DNA binding sites for each transcription ...
T. Gregory Dewey, David J. Galas
openaire +1 more source
Proceedings of the 10th annual conference on Genetic and evolutionary computation, 2008
This paper proposes a new approach for biologically inspired computing on the basis of Gene Regulatory Networks. These networks are models of genes and dynamic interactions that take place between them. The differential equation representations of such networks resemble neural networks as well as idiotypic networks in immune system.
Sanjoy Das +4 more
openaire +1 more source
This paper proposes a new approach for biologically inspired computing on the basis of Gene Regulatory Networks. These networks are models of genes and dynamic interactions that take place between them. The differential equation representations of such networks resemble neural networks as well as idiotypic networks in immune system.
Sanjoy Das +4 more
openaire +1 more source
Learning Structure of a Gene Regulatory Network
6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007Application of high-throughput data from microarray experiments is a promising way of finding regulatory relationships between genes. Recently, a causal model approach was presented for learning gene regulatory networks from microarray data. The paper investigates and extends this model by identifying the way in which the causal structure can be best ...
Ramesh Ram, Madhu Chetty
openaire +1 more source
The gene regulatory networks controlled by estrogens
Molecular and Cellular Endocrinology, 2011Estrogen signaling occurs widely among vertebrates and in some invertebrates. Estrogen action is mediated by estrogen receptors through the regulation of target gene expression. Estrogen mediated control of gene expression is a complex process including ligand-receptor interactions, receptor-DNA interactions and receptor-cofactor interactions.
Hui, Gao, Karin, Dahlman-Wright
openaire +2 more sources
Modeling gene regulatory networks using neural network architectures
Nature Computational Science, 2021Hantao Shu +6 more
semanticscholar +1 more source