AIMC Topic: Metabolomics

Clear Filters Showing 201 to 210 of 336 articles

Fake metabolomics chromatogram generation for facilitating deep learning of peak-picking neural networks.

Journal of bioscience and bioengineering Oct 10, 2020
Finding peaks in chromatograms and determining their start and end points (peak picking) is a core task in chromatography based biotechnology. Construction of peak-picking neural networks by deep learning was, however, hampered from the preparation o...
Deep Learning Metabolomics Chromatography Software
View on PubMed DOI

Deep Learning Driven GC-MS Library Search and Its Application for Metabolomics.

Analytical chemistry Aug 12, 2020
Preliminary compound identification and peak annotation in gas chromatography-mass spectrometry is usually made using mass spectral databases. There are a few algorithms that enable performing a search of a spectrum in a large mass spectral library. ...
Machine Learning Deep Learning Metabolomics Humans Gas Chromatography-Mass Spectrometry
View on PubMed DOI

Discovery of different metabotypes in overconditioned dairy cows by means of machine learning.

Journal of dairy science Jul 31, 2020
Using data from targeted metabolomics in serum in combination with machine learning (ML) approaches, we aimed at (1) identifying divergent metabotypes in overconditioned cows and at (2) exploring how metabotypes are associated with lactation performa...
Cattle Metabolomics Energy Metabolism Peripartum Period Metabolome Female Animals Machine Learning
View on PubMed DOI

Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma.

Nature communications Jul 16, 2020
Early cancer detection greatly increases the chances for successful treatment, but available diagnostics for some tumours, including lung adenocarcinoma (LA), are limited. An ideal early-stage diagnosis of LA for large-scale clinical use must address...
Sensitivity and Specificity Biomarkers, Tumor Lung Neoplasms Humans Machine Learning Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Adenocarcinoma of Lung Early Detection of Cancer Metabolomics
View on PubMed DOI

Metabolomics, machine learning and immunohistochemistry to predict succinate dehydrogenase mutational status in phaeochromocytomas and paragangliomas.

The Journal of pathology Jul 1, 2020
Phaeochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumours with a hereditary background in over one-third of patients. Mutations in succinate dehydrogenase (SDH) genes increase the risk for PPGLs and several other tumours. Mutation...
Humans Pheochromocytoma Adrenal Gland Neoplasms Head and Neck Neoplasms Succinate Dehydrogenase Immunohistochemistry Mutation Metabolomics Machine Learning Paraganglioma Cohort Studies
View on PubMed DOI

Exploration of chemical markers using a metabolomics strategy and machine learning to study the different origins of Ixeris denticulata (Houtt.) Stebb.

Food chemistry Jun 4, 2020
As a generally edible plant, Ixeris denticulata (Houtt.) Stebb is widely distributed in China. Its medicinal value has attracted much attention in recent years. However, the chemical markers that cause quality and taste differences in I. denticulata ...
Machine Learning Asteraceae Biomarkers Metabolomics Chromatography, High Pressure Liquid
View on PubMed DOI

Effect of congenital adrenal hyperplasia treated by glucocorticoids on plasma metabolome: a machine-learning-based analysis.

Scientific reports Jun 1, 2020
BACKGROUND: Congenital adrenal hyperplasia (CAH) due to 21-hydroxylase deficiency leads to impaired cortisol biosynthesis. Treatment includes glucocorticoid supplementation. We studied the specific metabolomics signatures in CAH patients using two di...
Indoleamine-Pyrrole 2,3,-Dioxygenase Machine Learning Area Under Curve Female Humans Hydrocortisone Adult ROC Curve Adrenal Hyperplasia, Congenital Male Metabolomics Purines Glucocorticoids Young Adult Pyrimidines Metabolome Case-Control Studies
View on PubMed DOI

Evidence that the Kennedy and polyamine pathways are dysregulated in human brain in cases of dementia with Lewy bodies.

Brain research May 22, 2020
Disruptions of brain metabolism are considered integral to the pathogenesis of dementia, but thus far little is known of how dementia with Lewy bodies (DLB) impacts the brain metabolome. DLB is less well known than other neurodegenerative diseases su...
Lewy Body Disease Humans Brain Signal Transduction Metabolomics Deep Learning
View on PubMed DOI

Retip: Retention Time Prediction for Compound Annotation in Untargeted Metabolomics.

Analytical chemistry May 21, 2020
Unidentified peaks remain a major problem in untargeted metabolomics by LC-MS/MS. Confidence in peak annotations increases by combining MS/MS matching and retention time. We here show how retention times can be predicted from molecular structures. Tw...
Machine Learning Tandem Mass Spectrometry Humans Time Factors Metabolomics Organic Chemicals Chromatography, Liquid
View on PubMed DOI

Systems metabolomics: from metabolomic snapshots to design principles.

Current opinion in biotechnology Apr 8, 2020
Metabolomics is a rapidly expanding technology that finds increasing application in a variety of fields, form metabolic disorders to cancer, from nutrition and wellness to design and optimization of cell factories. The integration of metabolic snapsh...
Metabolomics Humans Metabolic Diseases Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals