Results 81 to 90 of about 418,262 (313)

Graphical model check.

open access: yes, 2019
Graphical model check plotting the item values estimated for participants with EMCS scores less or equal than the median against the item values estimated for participants with EMCS scores above the median.
Monika Sommer (6532769)   +4 more
core   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

Investigating effective wayfinding in airports: a Bayesian network approach

open access: yesTransport, 2014
Effective wayfinding is the successful interplay of human and environmental factors resulting in a person successfully moving from their current position to a desired location in a timely manner. To date this process has not been modelled to reflect this
Anna Charisse Farr   +4 more
doaj   +1 more source

Learning Graphical Models With Hubs

open access: yesJournal of machine learning research : JMLR, 2014
We consider the problem of learning a high-dimensional graphical model in which certain hub nodes are highly-connected to many other nodes. Many authors have studied the use of an l1 penalty in order to learn a sparse graph in high-dimensional setting.
Kean Ming Tan   +5 more
openaire   +4 more sources

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

High-Dimensional Graphical Model Search with the gRapHD R Package

open access: yesJournal of Statistical Software, 2010
This paper presents the R package gRapHD for efficient selection of high-dimensional undirected graphical models. The package provides tools for selecting trees, forests, and decomposable models minimizing information criteria such as AIC or BIC, and for
Gabriel C. G. Abreu   +2 more
doaj  

Using a Gaussian Graphical Model to Explore Relationships Between Items and Variables in Environmental Psychology Research

open access: yesFrontiers in Psychology, 2019
Exploratory analyses are an important first step in psychological research, particularly in problem-based research where various variables are often included from multiple theoretical perspectives not studied together in combination before.
Nitin Bhushan   +5 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

A directed graphical model illustrates BNMF.

open access: yes, 2014
This graphical model describes the generation of from and with the components’ scale hyperparameters ; and are fixed parameters.
Tao Xu (3537)   +3 more
core   +1 more source

Data Mining with Graphical Models [PDF]

open access: yes, 1998
Data Mining, or Knowledge Discovery in Databases, is a fairly young research area that has emerged as a reply to the flood of data we are faced with nowadays. It tries to meet the challenge to develop methods that can help human beings to discover useful patterns in their data.
Rudolf Kruse, Christian Borgelt
openaire   +1 more source

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