Results 261 to 270 of about 493,705 (320)

Regularized ensemble Kalman inversion for robust and efficient gravity data modeling to identify mineral and ore deposits. [PDF]

Sci Rep
Laby DA, Sungkono S, Biswas A.
europepmc   +1 more source

Clustering single-cell multi-omics data via graph regularized multi-view ensemble learning [PDF]

Fuqun Chen, Guanhua Zou, Yongxian Wu, Le Ou-Yang   +3 more
openalex   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Medical Feature Extraction From Clinical Examination Notes: Development and Evaluation of a Two-Phase Large Language Model Framework.

JMIR Med Inform
Abumelha M, Al-Ghamdi AA, Fayoumi A, Ragab M.   +3 more
europepmc   +1 more source

Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings. [PDF]

Front Genet
Fu Z, Fu J, Chen C, Zhang K, Wang S.
europepmc   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Impact of processing and analysis methodology on thalamic susceptibility assessment in multiple sclerosis. [PDF]

PLoS One
Salman F, Bergsland N, Dwyer MG, Reeves JA, Ramesh A, Jakimovski D, Weinstock-Guttman B, Zivadinov R, Schweser F.   +8 more
europepmc   +1 more source

On Regular Rings [PDF]

Proceedings of the National Academy of Sciences, 1936
openaire   +3 more sources

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Innovative approach to support therapeutic proteins' similarity in hydrodynamic size using high-throughput dynamic light scattering and forced degradation. [PDF]

Sci Rep
Bhirde A, Harish S, Trunfio N, de Luna IF, Smith W, Fu Q.   +5 more
europepmc   +1 more source