Results 81 to 90 of about 22,057,993 (342)
Frontiers in Genetics, 2019 High-throughput microbial sequencing techniques, such as targeted amplicon-based and metagenomic profiling, provide low-cost genomic survey data of microbial communities in their natural environment, ranging from marine ecosystems to host-associated ...
Grace Yoon +2 more
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Sparse Cholesky Covariance Parametrization for Recovering Latent Structure in Ordered Data
IEEE Access, 2020 The sparse Cholesky parametrization of the inverse covariance matrix is directly related to Gaussian Bayesian networks. Its counterpart, the covariance Cholesky factorization model, has a natural interpretation as a hidden variable model for ordered ...
Irene Cordoba +3 more
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Graphical Presentation of the Steady-state Economy Model
The Journal of Population and Sustainability, 2022 There are several theories claiming that their policies can save the planet from environmental catastrophe. This paper claims that it is only the Steady-State Economy model on which such reasonably effective expectations can be based.
Theodore Lianos
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FEBS Letters, EarlyView.This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao +7 more
wiley +1 more source
Probabilistic Community Using Link and Content for Social Networks
IEEE Access, 2017 Community detection is one of the most important problems in social network analysis in the context of the structure of underlying graphs. Many researchers have proposed methods, which only consider the network structure of social networks, for ...
Shuai Zhao, Le Yu, Bo Cheng
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Structure Learning in Graphical Modeling [PDF]
Annual Review of Statistics and Its Application, 2017 A graphical model is a statistical model that is associated with a graph whose nodes correspond to variables of interest. The edges of the graph reflect allowed conditional dependencies among the variables. Graphical models have computationally convenient factorization properties and have long been a valuable tool for tractable modeling of multivariate
Drton M., Maathuis M.H.
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Efficient Proximal Gradient Algorithms for Joint Graphical Lasso
Entropy, 2021 We consider learning as an undirected graphical model from sparse data. While several efficient algorithms have been proposed for graphical lasso (GL), the alternating direction method of multipliers (ADMM) is the main approach taken concerning joint ...
Jie Chen, Ryosuke Shimmura, Joe Suzuki
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Topological Modeling for Vector Graphics [PDF]
IEEE Computer Graphics and Applications, 2019 In recent years, with the development of mobile phones, tablets, and web technologies, we have seen an ever-increasing need to generate vector graphics content, that is, resolution-independent images that support sharp rendering across all devices, as well as interactivity and animation.
James D. Foley, Boris Dalstein
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Cyclic nucleotide signaling as a drug target in retinitis pigmentosa
FEBS Letters, EarlyView.Disruptions in cGMP and cAMP signaling can contribute to retinal dysfunction and photoreceptor loss in retinitis pigmentosa. This perspective examines the mechanisms and evaluates emerging evidence on targeting these pathways as a potential therapeutic strategy to slow or prevent retinal degeneration.
Katri Vainionpää +2 more
wiley +1 more source
Spatio-Temporal Graphical-Model-Based Multiple Facial Feature Tracking
EURASIP Journal on Advances in Signal Processing, 2005 It is challenging to track multiple facial features simultaneously when rich expressions are presented on a face. We propose a two-step solution. In the first step, several independent condensation-style particle filters are utilized to track each ...
Su Congyong, Huang Li
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