AIMC Topic: Metabolomics

Clear Filters Showing 321 to 330 of 355 articles

SmartGate is a spatial metabolomics tool for resolving tissue structures.

Briefings in bioinformatics May 19, 2023
Imaging mass spectrometry (IMS) is one of the powerful tools in spatial metabolomics for obtaining metabolite data and probing the internal microenvironment of organisms. It has dramatically advanced the understanding of the structure of biological t...
Biomarkers Metabolomics Artificial Intelligence
View on PubMed DOI

3D-MSNet: a point cloud-based deep learning model for untargeted feature detection and quantification in profile LC-HRMS data.

Bioinformatics (Oxford, England) May 4, 2023
MOTIVATION: Liquid chromatography coupled with high-resolution mass spectrometry is widely used in composition profiling in untargeted metabolomics research. While retaining complete sample information, mass spectrometry (MS) data naturally have the ...
Metabolomics Chromatography, Liquid Mass Spectrometry Cloud Computing Deep Learning Software
View on PubMed DOI

Using Artificial Intelligence to Better Predict and Develop Biomarkers.

Clinics in laboratory medicine Mar 1, 2023
Advancements in technology have improved biomarker discovery in the field of heart failure (HF). What was once a slow and laborious process has gained efficiency through use of high-throughput omics platforms to phenotype HF at the level of genes, tr...
Metabolomics Proteomics Biomarkers Artificial Intelligence Prognosis
View on PubMed DOI

METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance.

Bioinformatics (Oxford, England) Nov 30, 2022
MOTIVATION: Class imbalance, or unequal sample sizes between classes, is an increasing concern in machine learning for metabolomic and lipidomic data mining, which can result in overfitting for the over-represented class. Numerous methods have been d...
Metabolomics Data Mining Algorithms Machine Learning
View on PubMed DOI

Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine.

Briefings in bioinformatics Sep 20, 2022
Liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics provides systematic profiling of metabolic. Yet, its applications in precision medicine (disease diagnosis) have been limited by several challenges, including metabolite id...
Metabolomics Chromatography, Liquid Mass Spectrometry Precision Medicine Deep Learning Reproducibility of Results
View on PubMed DOI

massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation.

Bioinformatics (Oxford, England) Mar 28, 2022
MOTIVATION: Mass spectrometry imaging (MSI) provides rich biochemical information in a label-free manner and therefore holds promise to substantially impact current practice in disease diagnosis. However, the complex nature of MSI data poses computat...
Machine Learning Neoplasms Animals Metabolomics Deep Learning Mice Mass Spectrometry
View on PubMed DOI

CRISP: a deep learning architecture for GC × GC-TOFMS contour ROI identification, simulation and analysis in imaging metabolomics.

Briefings in bioinformatics Mar 10, 2022
Two-dimensional gas chromatography-time-of-flight mass spectrometry (GC × GC-TOFMS) provides a large amount of molecular information from biological samples. However, the lack of a comprehensive compound library or customizable bioinformatics tool is...
Diagnostic Imaging Gas Chromatography-Mass Spectrometry Humans Metabolomics Deep Learning Software
View on PubMed DOI

The synergism of spatial metabolomics and morphometry improves machine learning-based renal tumour subtype classification.

Clinical and translational medicine Feb 1, 2022
Humans Kidney Neoplasms Metabolomics Machine Learning Classification
View on PubMed DOI

Metabolite discovery: Biochemistry's scientific driver.

Cell metabolism Jan 4, 2022
Metabolite identification represents a major challenge, and opportunity, for biochemistry. The collective characterization and quantification of metabolites in living organisms, with its many successes, represents a major biochemical knowledgebase an...
Artificial Intelligence Magnetic Resonance Spectroscopy Mass Spectrometry Metabolomics
View on PubMed DOI

Food Metabolomics.

Journal of nutritional science and vitaminology Jan 1, 2022
Foods contain not only nutrients but also a wide variety of components related to flavor and functionality. Many studies have been conducted on the components of foods. Quantitative analysis has been used to assess compounds in food such as sugars, a...
Food Analysis Anthocyanins Vitamins Artificial Intelligence Humans Animals Metabolomics
View on PubMed DOI
Popular Topics
Recent Journals