Results 51 to 60 of about 1,244,068 (326)

On graphical models and convex geometry

open access: yesComputational Statistics & Data Analysis, 2023
We introduce a mixture-model of beta distributions to identify significant correlations among $P$ predictors when $P$ is large. The method relies on theorems in convex geometry, which we use to show how to control the error rate of edge detection in graphical models. Our `betaMix' method does not require any assumptions about the network structure, nor
Bar, Haim, Wells, Martin T.
openaire   +3 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

Context-specific independencies for ordinal variables in chain regression models [PDF]

open access: yes, 2017
In this work we handle with categorical (ordinal) variables and we focus on the (in)dependence relationship under the marginal, conditional and context-specific perspective.
Cazzaro, Manuela, Nicolussi, Federica
core   +1 more source

Algebraic Aspects of Conditional Independence and Graphical Models

open access: yes, 2017
This chapter of the forthcoming Handbook of Graphical Models contains an overview of basic theorems and techniques from algebraic geometry and how they can be applied to the study of conditional independence and graphical models.
Kahle, Thomas   +2 more
core   +1 more source

Sparse Nonparametric Graphical Models [PDF]

open access: yesStatistical Science, 2012
Published in at http://dx.doi.org/10.1214/12-STS391 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Lafferty, John   +2 more
openaire   +4 more sources

Ergothioneine supplementation improves pup phenotype and survival in a murine model of spinal muscular atrophy

open access: yesFEBS Letters, EarlyView.
Spinal muscular atrophy (SMA) is a genetic disease affecting motor neurons. Individuals with SMA experience mitochondrial dysfunction and oxidative stress. The aim of the study was to investigate the effect of an antioxidant and neuroprotective substance, ergothioneine (ERGO), on an SMNΔ7 mouse model of SMA.
Francesca Cadile   +8 more
wiley   +1 more source

Coupled graphical models and their thresholds [PDF]

open access: yes2010 IEEE Information Theory Workshop, 2010
The excellent performance of convolutional low-density parity-check codes is the result of the spatial coupling of individual underlying codes across a window of growing size, but much smaller than the length of the individual codes. Remarkably, the belief-propagation threshold of the coupled ensemble is boosted to the maximum-a-posteriori one of the ...
S. Hamed Hassani   +2 more
openaire   +3 more sources

Single cis‐elements in brassinosteroid‐induced upregulated genes are insufficient to recruit both redox states of the BIL1/BZR1 DNA‐binding domain

open access: yesFEBS Letters, EarlyView.
Phytohormone brassinosteroid‐induced gene regulation by the transcription factor BIL1/BZR1 involves redox‐dependent DNA‐binding alternation and interaction with the transcription factor PIF4. The reduced BIL1/BZR1 dimer binds preferred cis‐elements, while oxidation alters its oligomerization state and disrupts DNA‐binding ability.
Shohei Nosaki   +4 more
wiley   +1 more source

EasyModeller: A graphical interface to MODELLER [PDF]

open access: yesBMC 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

C9orf72 ALS‐causing mutations lead to mislocalization and aggregation of nucleoporin Nup107 into stress granules

open access: yesFEBS Letters, EarlyView.
Mutations in the C9orf72 gene represent the most common genetic cause of amyotrophic lateral sclerosis (ALS), a fatal neurodegenerative disease. Using patient‐derived neurons and C. elegans models, we find that the nucleoporin Nup107 is dysregulated in C9orf72‐associated ALS. Conversely, reducing Nup107 levels mitigates disease‐related changes.
Saygın Bilican   +7 more
wiley   +1 more source

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