Results 181 to 190 of about 36,148 (258)

Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network. [PDF]

J Cheminform, 2021
Chen J, Si YW, Un CW, Siu SWI.
europepmc   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

A temporal-spectral graph convolutional neural network model for EEG emotion recognition within and across subjects. [PDF]

Brain Inform
Li R, Yang X, Lou J, Zhang J.
europepmc   +1 more source

A novel graph convolutional neural network for predicting interaction sites on protein kinase inhibitors in phosphorylation. [PDF]

Sci Rep, 2022
Wang F, Chen YT, Yang JM, Akutsu T.
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Attention mechanism-enhanced graph convolutional neural network for unbalanced lithology identification. [PDF]

Sci Rep
Wang A, Zhao S, Xie K, Wen C, Tian HL, He JB, Zhang W.   +6 more
europepmc   +1 more source

A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD. [PDF]

Neuroimage, 2022
Zhao K, Duka B, Xie H, Oathes DJ, Calhoun V, Zhang Y.   +5 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes. [PDF]

Sci Rep, 2022
Asadzadeh S, Yousefi Rezaii T, Beheshti S, Meshgini S.   +3 more
europepmc   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source