Results 81 to 90 of about 22,758,545 (367)
Partial Gaussian Graphical Model Estimation [PDF]
IEEE Transactions on Information Theory, 2012 This paper studies the partial estimation of Gaussian graphical models from high-dimensional empirical observations. We derive a convex formulation for this problem using ℓ1-regularized maximum-likelihood estimation, which can be solved via a smoothing ...
Xiao-Tong Yuan, Tong Zhang
semanticscholar +1 more source
The power of microRNA regulation—insights into immunity and metabolism
FEBS Letters, EarlyView.MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto +2 more
wiley +1 more source
Bayesian Network Modeling Applied to Feline Calicivirus Infection Among Cats in Switzerland
Frontiers in Veterinary Science, 2020 Bayesian network (BN) modeling is a rich and flexible analytical framework capable of elucidating complex veterinary epidemiological data. It is a graphical modeling technique that enables the visual presentation of multi-dimensional results while ...
Gilles Kratzer +11 more
doaj +1 more source
Active Learning for Undirected Graphical Model Selection [PDF]
, 2014 This paper studies graphical model selection, i.e., the problem of estimating a graph of statistical relationships among a collection of random variables.
Baraniuk, Richard G. +2 more
core +1 more source
The Saccharomyces cerevisiae amino acid transporter Lyp1 has a broad substrate spectrum
FEBS Letters, EarlyView.In Saccharomyces cerevisiae, Yeast Amino acid Transporter family members mediate the import of amino acids, ranging from substrate specialists to generalists. Here, we show that the specialist transporter, Lyp1, has a broader substrate spectrum than previously described, with affinity constants spanning from micromolar to millimolar.
Foteini Karapanagioti +3 more
wiley +1 more source
Graphical Models for Genetic Analyses
Statistical Science, 2003 This paper introduces graphical models as a natural environment in which to formulate and solve problems in genetics and related areas. Particular emphasis is given to the relationships among various local computation algorithms which have been developed within the hitherto mostly separate areas of graphical models and genetics.
Lauritzen, S.L., Sheehan, Nuala A.
openaire +7 more sources
EasyModeller: A graphical interface to MODELLER [PDF]
BMC Research Notes, 2010 MODELLER is a program for automated protein Homology Modeling. It is one of the most widely used tool for homology or comparative modeling of protein three-dimensional structures, but most users find it a bit difficult to start with MODELLER as it is command line based and requires knowledge of basic Python scripting to use it efficiently.The study was
Pallu Reddanna +2 more
openaire +4 more sources
Foresight of innovative processes in the environics of production systems
π-EconomyThe article reveals such urgent problems and areas of environmentalism as modern processes of interaction between production and the environment; increasing the sustainability of the environmental impact of production processes and innovative ways of ...
Kirilchuk Svetlana, Morozova Irina
doaj +1 more source
Explicit Formula of Koszul–Vinberg Characteristic Functions for a Wide Class of Regular Convex Cones
Entropy, 2016 The Koszul–Vinberg characteristic function plays a fundamental role in the theory of convex cones. We give an explicit description of the function and related integral formulas for a new class of convex cones, including homogeneous cones and cones ...
Hideyuki Ishi
doaj +1 more source
Compressive Nonparametric Graphical Model Selection For Time Series
, 2014 We propose a method for inferring the conditional indepen- dence graph (CIG) of a high-dimensional discrete-time Gaus- sian vector random process from finite-length observations.
Bölcskei, Helmut +3 more
core +1 more source