Results 41 to 50 of about 12,540,238 (298)
Chemical graph theory, a subfield of graph theory, is used to investigate chemical substances and their characteristics. Chemical graph analysis sheds light on the connection, symmetry, and reactivity of molecules.
Guofeng Yu +5 more
doaj +1 more source
Path-level interpretation of Gaussian graphical models using the pair-path subscore
Background Construction of networks from cross-sectional biological data is increasingly common. Many recent methods have been based on Gaussian graphical modeling, and prioritize estimation of conditional pairwise dependencies among nodes in the ...
Nathan P. Gill +5 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
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
Uncertain Automata and Uncertain Graph Grammar [PDF]
Graph theory has been widely studied, resulting in numerous applications across various felds. Among its many topics, Automata and Graph Grammar have emerged as signifcant areas ofresearch.
Florentin Smarandache, Takaaki Fujita
doaj +1 more source
Analyzing traffic problem model with graph theory algorithms [PDF]
7 pages, 5 figures, Science and Information Conference (SAI ...
openaire +2 more sources
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
wiley +1 more source
Translophagy—A potential link between autophagy impairment and translational errors
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
A Review on Graph Theory in Deep Learning
Graph theory has gained popularity as a flexible tool in machine learning to capture complex correlations between objects in non-Euclidean structured data.
Ayhan Ahmed Al-Shumam +1 more
doaj +1 more source
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Checking adjustment sets and finding common adjustment sets based on a causal graph model
The purpose of this paper was to introduce the method of checking adjustment sets based on a causal graph model, finding common adjustment sets and implementing the statistical calculation with SAS software.
Hu Chunyan, Hu Liangping
doaj +1 more source

