Connectome Graph Attention Network (CGAT): A Multimodal approach for enhanced classification of Alzheimer's disease DOI Creative Commons

P. Udayakumar,

R. Subhashini

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105200 - 105200

Published: May 1, 2025

Language: Английский

Comprehensive Analysis of Computational Models for Prediction of Anticancer Peptides Using Machine Learning and Deep Learning DOI
Farman Ali, Norazlin Ibrahim, Raed Alsini

et al.

Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Language: Английский

Citations

1
Machine learning selection of basement membrane-associated genes and development of a predictive model for kidney fibrosis DOI Creative Commons
Ziwei Yuan,

Guangjia Lv,

Xinyan Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 24, 2025

This study investigates the role of basement membrane-related genes in kidney fibrosis, a significant factor progression chronic disease that can lead to end-stage renal failure. The authors aim develop predictive model using machine learning techniques due limitations existing diagnostic methods, which often lack sensitivity and specificity. Utilizing gene expression data from GEO database, researchers applied LASSO, Random Forest, SVM-RFE methods identify five pivotal genes: ARID4B, EOMES, KCNJ3, LIF, STAT1. These were analyzed across training validation datasets, resulting development Nomogram prediction model. Performance metrics, including area under ROC curve (AUC), calibration curves, decision analysis, indicated excellent capabilities with an AUC 0.923. Experimental through qRT-PCR clinical samples TGF-β-treated HK-2 cells corroborated patterns identified silico, showing upregulation STAT1, downregulation KCNJ3. findings emphasize importance fibrosis pave way for enhanced early diagnosis targeted therapeutic strategies.

Language: Английский

Citations

0
IR-MBiTCN: Computational prediction of insulin receptor using deep learning: A multi-information fusion approach with multiscale bidirectional temporal convolutional network DOI
Farman Ali, Atef Masmoudi, Tamim Alkhalifah

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: 311, P. 143844 - 143844

Published: May 2, 2025

Language: Английский

Citations

0
AFP-MCDF: Multi and cross-dimensional feature fusion methods for antifreeze protein prediction DOI
Jinfeng Li, Fan Zhang, Zhenguo Wen

et al.

Analytical Biochemistry, Journal Year: 2025, Volume and Issue: 704, P. 115881 - 115881

Published: May 9, 2025

Language: Английский

Citations

0
Connectome Graph Attention Network (CGAT): A Multimodal approach for enhanced classification of Alzheimer's disease DOI Creative Commons

P. Udayakumar,

R. Subhashini

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105200 - 105200

Published: May 1, 2025

Language: Английский

Citations

0