Results 21 to 30 of about 1,367 (116)
Identification of a novel human E-Cadherin splice variant andassessment of its effects upon EMT-related events [PDF]
Epithelial Cadherin (E-cadherin) is involved in calcium-dependent cell-cell adhesion and signal transduction. The E-cadherin decrease/loss is a hallmark of Epithelial to Mesenchymal Transition (EMT), a key event in tumor progression.
Besso, María José +8 more
core +1 more source
Spectral clustering and the high-dimensional stochastic blockmodel
Networks or graphs can easily represent a diverse set of data sources that are characterized by interacting units or actors. Social networks, representing people who communicate with each other, are one example.
Chatterjee, Sourav, Rohe, Karl, Yu, Bin
core +1 more source
Structural Bounds on the Dyadic Effect
In this paper we consider the dyadic effect introduced in complex networks when nodes are distinguished by a binary characteristic. Under these circumstances two independent parameters, namely dyadicity and heterophilicity, are able to measure how much ...
Cinelli, Matteo +2 more
core +1 more source
ABSTRACT Background Nutritionists and dietitians play an important role in supporting sustainable food systems and diets; however, their involvement in local alternative food networks remains poorly defined. These actors are well placed to apply their extensive expertise in food, nutrition and health to the transformation of the contemporary food ...
Suzy Pickles +4 more
wiley +1 more source
A guide to chemokines and their receptors [PDF]
The chemokines (or chemotactic cytokines) are a large family of small, secreted proteins that signal through cell surface G‐protein coupled heptahelical chemokine receptors.
Braun A +11 more
core +1 more source
Imprecision in Vision: Lessons From Neural Circuits in the Fly
Visual systems are considered regular, retinotopic structures. Here, we summarize findings, including evidence from recent connectomes, that demonstrate cellular and synaptic heterogeneity in the Drosophila visual system —from regional specialization and stochastic photoreceptor patterns to heterogeneous synaptic connectivity.
Mathias F. Wernet, Marion Silies
wiley +1 more source
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
The nature of heterophilous graphs is significantly different from that of homophilous graphs, which causes difficulties in early graph neural network models and suggests aggregations beyond the 1-hop neighborhood. In this paper, we develop a new way to implement multi-scale extraction via constructing Haar-type graph framelets with desired properties ...
Jianfei Li +4 more
openaire +3 more sources
Buccal ganglia inter‐ and motoneuronal transcriptional changes were investigated after learning food is inedible (LFI) in Aplysia californica reared on different diets at two ages. Those reared on calorie restriction showed delayed signs of aging and maintained their performance in LFI when aged while those reared on ad‐lib did not. ABSTRACT Along with
Eric C. Randolph, Lynne A. Fieber
wiley +1 more source
Objective Diffuse cutaneous systemic sclerosis (dcSSc) is characterized by skin and internal organ fibrosis. The regulatory aspects of the immune system involved in maintaining tolerance are still poorly understood in dcSSc. The late checkpoint inhibitory lymphocyte activation gene 3 (LAG‐3) is implicated in T cell inhibition by interacting with its ...
Maithri Aspari +6 more
wiley +1 more source
Heterophilous Distribution Propagation for Graph Neural Networks
Graph Neural Networks (GNNs) have achieved remarkable success in various graph mining tasks by aggregating information from neighborhoods for representation learning. The success relies on the homophily assumption that nearby nodes exhibit similar behaviors, while it may be violated in many real-world graphs.
Zhuonan Zheng +8 more
openaire +3 more sources

