Results 181 to 190 of about 22,758,545 (367)
Effective diagnosis of sepsis in critically ill children using probabilistic graphical model. [PDF]
Nguyen TM, Poh KL, Chong SL, Lee JH.
europepmc +1 more source
I thank Thomas Richardson and James Robins for their discussion of my article, and discuss the similarities and differences between their approach to causal modelling, based on single world intervention graphs, and my own decision-theoretic approach.
Dawid Philip
doaj +1 more source
Nonlinear optical components for all-optical probabilistic graphical model
To circumvent the limitations of electronic computers, moving to hybrid optical-electronic or all-optical devices may be useful. Here, Babaeian et al. present an all-optical implementation of the probabilistic graphical model using nonlinear optics in ...
Masoud Babaeian+12 more
doaj +1 more source
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair+17 more
wiley +1 more source
Probabilistic graphical model for the evaluation of the emotional and dramatic personality disorders. [PDF]
García-Franco JD+2 more
europepmc +1 more source
Causal Inference Using Graphical Models with the R Package pcalg
The pcalg package for R can be used for the following two purposes: Causal structure learning and estimation of causal effects from observational data.
Markus Kalisch+4 more
doaj
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis [PDF]
With the rise of generative AI, synthesizing figures from text captions becomes a compelling application. However, achieving high geometric precision and editability requires representing figures as graphics programs in languages like TikZ, and aligned training data (i.e., graphics programs with captions) remains scarce.
arxiv
GRAPHICAL MODELS AND COMPUTERIZED ADAPTIVE TESTING [PDF]
Russell G. Almond, Robert J. Mislevy
openalex +1 more source
Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu+11 more
wiley +1 more source
PepGM: a probabilistic graphical model for taxonomic inference of viral proteome samples with associated confidence scores. [PDF]
Holstein T+3 more
europepmc +1 more source