Results 281 to 290 of about 1,903,201 (339)

Mol2Raman: a graph neural network model for predicting Raman spectra from SMILES representations.

Digit Discov
Sorrentino S, Gussoni A, Calcagno F, Pasotti G, Avagliano D, Rivalta I, Garavelli M, Polli D.   +7 more
europepmc   +1 more source

Graph neural network and diffusion model for modeling RNA interatomic interactions. [PDF]

Bioinformatics
Justyna M, Zirbel C, Antczak M, Szachniuk M.   +3 more
europepmc   +1 more source

Taurocholic Acid Is Associated With Disturbed Functional Connectivity in the Hippocampus of Patients With Depression

Advanced Science, EarlyView.
This study identifies elevated taurocholic acid (TCA) in Major Depressive Disorder patients. Gut microbiome‐associated TCA impairs hippocampal neurogenesis, triggers microglia activation, and elicits depression‐like behavior in mice via the S1PR2. In patients, functional neuroimaging reveals that serum TCA levels correlate with altered functional ...
Xiaoying Cai, Taipeng Sun, Mengzhen Feng, Gang Chen, Junchi Zhou, Hong Zhuang, Dan Wang, Ying Chen, Zhen Cheng, Zhi Xu, Xiao Zheng, Xueli Zhang, Yonggui Yuan   +12 more
wiley   +1 more source

The structure-preserving spectral graph neural network for dual kinase inhibitors and synergy scoring in gastric cancer. [PDF]

NPJ Digit Med
Zhang Y, Yuan C, Wang L, Chen Y, Xing Y, Sun Y.   +5 more
europepmc   +1 more source

FEATURE REPRESENTATION FOR FLOOR PLANS USING RANDOM VISIBILITY GRAPH AND GRAPH NEURAL NETWORK

Keita KADO
openalex   +2 more sources

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Structure-Property Linkage in Alloys Using Graph Neural Network and Explainable Artificial Intelligence. [PDF]

Materials (Basel)
Rhoads B, Hogue A, Kotthoff L, Choudhury S.   +3 more
europepmc   +1 more source

Graph-Based Learning: From Graph Neural Networks to Large Language Models

Guangxin Su
openalex   +2 more sources

Stochastic Nanoscale Biophysical Cues as a Basis for the Induction of Glioblastoma‐Like Transcriptional Programs in Astrocytes

Advanced Science, EarlyView.
Stochastic nanoscale physical cues induce glioblastoma (GBM)‐associated transcriptional traits in naïve astrocytes leading to spontaneous formation of spheroids. Cells within spheroids express activated‐MMP2 and a differential gene expression pattern involving P53 and NOTCH3, providing evidence for a role for changes in brain topography, as observed in
Laurent Starck, Tobias Butelmann, Sabrina Hogan, Melika Sarem, Bernd Heimrich, Ritwick Sawarkar, Marie‐Françoise Ritz, Gregor Hutter, V. Prasad Shastri   +8 more
wiley   +1 more source

MRDDA: a multi-relational graph neural network for drug-disease association prediction. [PDF]

J Transl Med
Chen C, Zhou Y, Li Y, Xu J, Li D, Wang L.   +5 more
europepmc   +1 more source