Results 81 to 90 of about 2,000,131 (360)

GBNSS: A Method Based on Graph Neural Networks (GNNs) for Global Biological Network Similarity Search

Applied Sciences
Biological network similarity search plays a crucial role in the analysis of biological networks for human disease research and drug discovery. A biological network similarity search aims to efficiently identify novel networks biologically homologous to ...
Yi Wang, Feng Zhan, Cuiyu Huang, Yiran Huang   +3 more
doaj   +1 more source

Binarized Neural Network with Silicon Nanosheet Synaptic Transistors for Supervised Pattern Classification

Scientific Reports, 2019
In the biological neural network, the learning process is achieved through massively parallel synaptic connections between neurons that can be adjusted in an analog manner.
Sungho Kim, Bongsik Choi, Jinsu Yoon, Yongwoo Lee, Hee-Dong Kim, Min-Ho Kang, Sung-Jin Choi   +6 more
doaj   +1 more source

Performance of networks of artificial neurons: The role of clustering

, 2004
The performance of the Hopfield neural network model is numerically studied on various complex networks, such as the Watts-Strogatz network, the Barab{\'a}si-Albert network, and the neuronal network of the C. elegans.
B. M. Forrest, Beom Jun Kim, C. Cherniak, D. J. Watts, D. Stauffer, J. Hertz, J. Karbowski, L. da Fontoura Costa, O. Sporns, O. Sporns, S. N. Dorogovtsev   +10 more
core   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

FEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo, Carolin Ector, Hanspeter Herzel   +2 more
wiley   +1 more source

Correlation Analysis-Based Neural Network Self-Organizing Genetic Evolutionary Algorithm

IEEE Access, 2019
Recent years, there has been an ever increasing interest and investment on Artificial Intelligence (AI), both academic and industrial. As the hotspots in AI, Artificial Neural Networks (ANNs) have already been applied to a lot of different applications ...
Zenghao Chai, Xu Yang, Zhilin Liu, Yunlin Lei, Wenhao Zheng, Mengyao Ji, Jinfeng Zhao   +6 more
doaj   +1 more source

Toward modeling a dynamic biological neural network

Mathematical and Computer Modelling, 1990
Mammalian macular endorgans are linear bioaccelerometers located in the vestibular membranous labyrinth of the inner ear. In this paper, the organization of the endorgan is interpreted on physical and engineering principles. This is a necessary prerequisite to mathematical and symbolic modeling of information processing by the macular neural network.
Ross, M.D., Dayhoff, J.E., Mugler, D.H.
openaire   +2 more sources

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques

Engineering Applications of Computational Fluid Mechanics, 2022
Predicting the infiltration rate (IR) of treated wastewater (TWW) is essential in controlling clogging problems. Most researchers that predict the IR using neural network models considered the characteristics parameters of soil without considering  those
Ghada Abdalrahman, Sai Hin Lai, Pavitra Kumar, Ali Najah Ahmed, Mohsen Sherif, Ahmed Sefelnasr, Kwok Wing Chau, Ahmed Elshafie   +7 more
doaj   +1 more source