Multiple machine learning methods aided virtual screening of NaV1.5 inhibitors
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Cellular and Molecular Medicine"
DOI: 10.1111/jcmm.17652
Abstract: Nav1.5 sodium channels contribute to the generation of the rapid upstroke of the myocardial action potential and thereby play a central role in the excitability of myocardial cells. At present, the patch clamp method is… read more here.
Keywords: ion channel; machine; machine learning; multiple machine ... See more keywords
Integrating multiple machine learning methods to construct glutamine metabolism-related signatures in lung adenocarcinoma
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Endocrinology"
DOI: 10.3389/fendo.2023.1196372
Abstract: Background Glutamine metabolism (GM) is known to play a critical role in cancer development, including in lung adenocarcinoma (LUAD), although the exact contribution of GM to LUAD remains incompletely understood. In this study, we aimed… read more here.
Keywords: glutamine metabolism; lung adenocarcinoma; luad; machine learning ... See more keywords
Single-Cell Sequencing Analysis and Multiple Machine Learning Methods Identified G0S2 and HPSE as Novel Biomarkers for Abdominal Aortic Aneurysm
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2022.907309
Abstract: Identifying biomarkers for abdominal aortic aneurysms (AAA) is key to understanding their pathogenesis, developing novel targeted therapeutics, and possibly improving patients outcomes and risk of rupture. Here, we identified AAA biomarkers from public databases using… read more here.
Keywords: cell; biomarkers abdominal; hpse; multiple machine ... See more keywords
Multiple Machine Learning Approaches for Morphometric Parameters in Prediction of Hydrocephalus
Sign Up to like & getrecommendations! Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12111484
Abstract: Background: The diagnosis of hydrocephalus is mainly based on imaging findings. However, the significance of many imaging indicators may change, especially in some degenerative diseases, and even lead to misdiagnosis. Methods: This study explored the… read more here.
Keywords: machine learning; multiple machine; learning approaches; group ... See more keywords