Results 21 to 30 of about 509,029 (282)
Structure learning for gene regulatory networks.
Inference of biological network structures is often performed on high-dimensional data, yet is hindered by the limited sample size of high throughput "omics" data typically available. To overcome this challenge, often referred to as the "small n, large p
Anthony Federico +3 more
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Gene Self-Expressive Networks as a Generalization-Aware Tool to Model Gene Regulatory Networks
Self-expressiveness is a mathematical property that aims at characterizing the relationship between instances in a dataset. This property has been applied widely and successfully in computer-vision tasks, time-series analysis, and to infer underlying ...
Sergio Peignier, Federica Calevro
doaj +1 more source
Gene regulatory networks for development [PDF]
The genomic program for development operates primarily by the regulated expression of genes encoding transcription factors and components of cell signaling pathways. This program is executed by cis-regulatory DNAs (e.g., enhancers and silencers) that control gene expression.
Levine, Michael, Davidson, Eric H.
openaire +3 more sources
Gradient descent optimization in gene regulatory pathways. [PDF]
BACKGROUND: Gene Regulatory Networks (GRNs) have become a major focus of interest in recent years. Elucidating the architecture and dynamics of large scale gene regulatory networks is an important goal in systems biology.
Mouli Das +2 more
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Supervised Learning of Gene Regulatory Networks [PDF]
AbstractIdentifying the entirety of gene regulatory interactions in a biological system offers the possibility to determine the key molecular factors that affect important traits on the level of cells, tissues, and whole organisms. Despite the development of experimental approaches and technologies for identification of direct binding of transcription ...
Razaghi-Moghadam, Zahra +1 more
openaire +4 more sources
Stochastic models and numerical algorithms for a class of regulatory gene networks [PDF]
Regulatory gene networks contain generic modules like those involving feedback loops, which are essential for the regulation of many biological functions.
Fournier, Thomas +5 more
core +2 more sources
Artificial Gene Regulatory Networks—A Review [PDF]
In nature, gene regulatory networks are a key mediator between the information stored in the DNA of living organisms (their genotype) and the structural and behavioral expression this finds in their bodies, surviving in the world (their phenotype). They integrate environmental signals, steer development, buffer stochasticity, and allow evolution to ...
Cussat-Blanc, Sylvain +2 more
openaire +4 more sources
Dynamic Bayesian networks in molecular plant science: inferring gene regulatory networks from multiple gene expression time series [PDF]
To understand the processes of growth and biomass production in plants, we ultimately need to elucidate the structure of the underlying regulatory networks at the molecular level.
Dondelinger, F., Husmeier, D., Lebre, S.
core +3 more sources
Single-cell RNA-seq analysis coupled with CRISPR-based perturbation has enabled the inference of gene regulatory networks with causal relationships.
Masato Ishikawa +12 more
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Time-delayed models of gene regulatory networks [PDF]
We discuss different mathematical models of gene regulatory networks as relevant to the onset and development of cancer. After discussion of alternativemodelling approaches, we use a paradigmatic two-gene network to focus on the role played by time ...
Blyuss, K B +3 more
core +4 more sources

