Metabolomics and lipidomics: expanding the molecular landscape of exercise biology
Dynamic changes in circulating and tissue metabolites and lipids occur in response to
exercise-induced cellular and whole-body energy demands to maintain metabolic …
exercise-induced cellular and whole-body energy demands to maintain metabolic …
Software tools, databases and resources in metabolomics: updates from 2018 to 2019
Metabolomics has evolved as a discipline from a discovery and functional genomics tool,
and is now a cornerstone in the era of big data-driven precision medicine. Sample …
and is now a cornerstone in the era of big data-driven precision medicine. Sample …
A knowledge graph to interpret clinical proteomics data
Implementing precision medicine hinges on the integration of omics data, such as
proteomics, into the clinical decision-making process, but the quantity and diversity of …
proteomics, into the clinical decision-making process, but the quantity and diversity of …
[HTML][HTML] An artificial intelligence model for heart disease detection using machine learning algorithms
The paper focuses on the construction of an artificial intelligence-based heart disease
detection system using machine learning algorithms. We show how machine learning can …
detection system using machine learning algorithms. We show how machine learning can …
A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification
Introduction Metabolomics is increasingly being used in the clinical setting for disease
diagnosis, prognosis and risk prediction. Machine learning algorithms are particularly …
diagnosis, prognosis and risk prediction. Machine learning algorithms are particularly …
NMR spectroscopy in wine authentication: An official control perspective
PA Solovyev, C Fauhl‐Hassek, J Riedl… - … reviews in food …, 2021 - Wiley Online Library
Wine authentication is vital in identifying malpractice and fraud, and various physical and
chemical analytical techniques have been employed for this purpose. Besides wet …
chemical analytical techniques have been employed for this purpose. Besides wet …
Understanding collaborative practices and tools of professional UX practitioners in software organizations
User experience (UX) has undergone a revolution in collaborative practices, due to tools
that enable quick feedback and continuous collaboration with a varied team across a …
that enable quick feedback and continuous collaboration with a varied team across a …
[HTML][HTML] 3D plasmonic hexaplex paper sensor for label-free human saliva sensing and machine learning-assisted early-stage lung cancer screening
A label-free detection method for noninvasive biofluids enables rapid on-site disease
screening and early-stage cancer diagnosis by analyzing metabolic alterations. Herein, we …
screening and early-stage cancer diagnosis by analyzing metabolic alterations. Herein, we …
A geographically weighted random forest approach to predict corn yield in the US corn belt
Crop yield prediction before the harvest is crucial for food security, grain trade, and policy
making. Previously, several machine learning methods have been applied to predict crop …
making. Previously, several machine learning methods have been applied to predict crop …
Google colab and virtual simulations: practical e-learning tools to support the teaching of thermodynamics and to introduce coding to students
W Vallejo, C Díaz-Uribe, C Fajardo - ACS omega, 2022 - ACS Publications
Various studies have reported the versatility and great scope of programming tools in all
areas of knowledge. Coding is generally of paramount importance to chemistry students …
areas of knowledge. Coding is generally of paramount importance to chemistry students …