Results 91 to 100 of about 239,550 (307)
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Clustering coefficient and degree assortativity.
Clustering coefficient (A) and degree assortativity (B) values generated by the CMext and SpecNet algorithms. The line represents networks where CMext = SpecNet.
Nina Håkansson (312966) +3 more
core +1 more source
Complex scale-free networks with tunable power-law exponent and clustering [PDF]
This article is made available through the Brunel Open Access Publishing Fund. It is distributed under a Creative Commons License (http://creativecommons.org/licenses/by/3.0/).
Colman, ER +3 more
core +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Centrality based analysis of amino acids network [PDF]
A network is a crucial asset in biology for capturing and exploring interaction data in biological systems of many types, such as protein-protein communications, amino acid associations, gene regulation, and cellular metabolism.
Chandra Borah, Tazid Ali
doaj
Graphical representation of genetic code algebra [PDF]
During the translation process, the genetic code is the nucleotide sequence that determines the amino acid sequence of protein molecules. A codon is a universal triplet of nucleotides that codes for an amino acid. A group G's identity graph is a graph in
Birinchi Kumar Boruah, Tazid Ali
doaj
On Clustering Coefficients in Complex Networks
The clustering coefficient is a valuable tool for understanding the structure of complex networks. It is widely used to analyze social networks, biological networks, and other complex systems. While there is generally a single common definition for the local clustering coefficient, there are two different ways to calculate the global clustering ...
openaire +2 more sources
Same as Fig 6, but for the clustering coefficient.
Same as Fig 6, but for the clustering coefficient.
Víctor Muñoz (11719321) +1 more
core +1 more source
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
wiley +1 more source
Generalization of Clustering Coefficients to Signed Correlation Networks
The recent interest in network analysis applications in personality psychology and psychopathology has put forward new methodological challenges. Personality and psychopathology networks are typically based on correlation matrices and therefore include both positive and negative edge signs.
COSTANTINI, GIULIO, PERUGINI, MARCO
openaire +4 more sources

