Results 131 to 140 of about 22,057,993 (342)
nference in Graphical Gaussian Models with Edge and Vertex Symmetries with the gRc Package for R
In this paper we present the R package gRc for statistical inference in graphical Gaussian models in which symmetry restrictions have been imposed on the concentration or partial correlation matrix.
Søren Højsgaard, Steffen L. Lauritzen
doaj
We consider the estimation of the marginal likelihood in Bayesian statistics, with primary emphasis on Gaussian graphical models, where the intractability of the marginal likelihood in high dimensions is a frequently researched problem.
Eric Chuu+3 more
doaj +1 more source
Knowledge Model Based on Graphical Semantic Perception
Based on knowledge representation in product design, we propose a knowledge model of the product design process based on graphical semantic perception.
Jian Liu, Haisong Huang, Weijie Pan
doaj +1 more source
Gene Networks Based on the Graphical Gaussian Model
This protocol describes how to build a gene network based on the graphical Gaussian model (GGM) from large scale microarray data. GGM uses partial correlation coefficient (pcor) to infer co-expression relationship between genes.
Shisong Ma
doaj +1 more source
Graphical models of separation logic
Labelled graphs are used to model control and data flow among events occurring in the execution of a (possibly concurrent) program. Data flow is a unifying concept that covers both access to memory and communication along channels; it covers many variations including weakly consistent memory, re-ordered execution, and communication channels that are ...
Wehrman, I, Hoare, C, O'Hearn, P
openaire +3 more sources
Overexpression of CHRDL2 in colon cancer cells makes them more stem‐like and resistant to chemo‐ and radiotherapy. CHRDL2‐high cells have upregulation of the WNT pathway, genes involved in the DNA damage response (DDR) pathway and epithelial‐to‐mesenchymal transition (EMT). This leads to quicker repair of damaged DNA and more cell migration.
Eloise Clarkson, Annabelle Lewis
wiley +1 more source
Graphical modelling using contextually implied functions [PDF]
C. J. Evangelisti
openalex +1 more source
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner+6 more
wiley +1 more source
Documentation of a graphical display program for the saturated- unsaturated transport (SUTRA) finite-element simulation model [PDF]
W.R. Souza
openalex +1 more source
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul+11 more
wiley +1 more source